NASENI Recruitment is making headlines again, and this time it is not for a routine government job posting. This is something bigger, bolder, and genuinely exciting for anyone who has been watching Nigeria’s technology space with curious eyes.
The National Agency for Science and Engineering Infrastructure has just opened its doors to a brand-new set of professionals, and the roles on the table are not the typical civil service positions you might be tempted to scroll past. These are cutting-edge, high-impact technology roles sitting right at the intersection of artificial intelligence, national development, and institutional transformation.
If you have ever wanted to work at the centre of Nigeria’s push to become a serious player in global technology, this is likely the closest that opportunity has ever come to your front door.
Let us take a deep, thorough, and honest look at every aspect of this recruitment round, what the roles actually mean, who should apply, what NASENI is trying to accomplish, and why this matters far beyond any single career move.
Table of Contents
Understanding NASENI
Before diving into the specific roles, it is worth understanding what NASENI actually is, because a lot of people underestimate this institution or confuse it with other science-oriented agencies in Nigeria.
NASENI, which stands for the National Agency for Science and Engineering Infrastructure, was established by the Nigerian government with a very specific mandate: to develop, promote, and harness science and engineering capabilities for national development. Over the years, it has been involved in developing local technologies, building engineering capacity, and attempting to close the infrastructure gap that has long plagued Nigeria’s industrial sector.
Under recent leadership, particularly with the increased focus on innovation and technology, NASENI has been repositioning itself. The agency is no longer content to exist in the background, quietly conducting research that never leaves the laboratory. There is a clear, visible push to make NASENI a front-facing institution that produces real, deployable solutions to Nigeria’s most pressing problems.
The creation of an AI Unit within NASENI is a direct reflection of this new direction. Artificial intelligence is no longer a luxury conversation reserved for Silicon Valley boardrooms. It is becoming foundational infrastructure for countries that want to compete economically, improve governance, accelerate healthcare delivery, and build productive industries. Nigeria’s government understands this, and the NASENI AI Unit is one of the most concrete expressions of that understanding.
So when NASENI recruitment opens up roles specifically for an AI team, it deserves serious attention from any qualified professional in Nigeria or abroad.
What NASENI Recruitment Round Is Really About
The current NASENI recruitment exercise is focused specifically on staffing its new AI Unit. The agency is looking for five distinct types of professionals, each covering a critical dimension of building and running a functional artificial intelligence operation within a large public institution.
These roles are:
- Head, AI Unit (Team Lead)
- Machine Learning (ML) / DevOps Engineer Lead
- Business / Domain Lead
- Hardware Embedded Engineer
- Media / Communications Lead
What is particularly interesting about this list is how complete it is. A lot of organisations, particularly in the public sector, make the mistake of hiring only the technical people when they want to build an AI function. They bring in data scientists, machine learning engineers, maybe a few software developers, and then wonder why nothing gets deployed, why stakeholders do not trust the technology, and why projects die in pilot stages.
NASENI has clearly thought about this differently. This recruitment is seeking a full team across strategy, engineering, business alignment, hardware integration, and communications. That is a mature approach to building AI capability, and it says something meaningful about the level of seriousness with which this initiative is being pursued.
Let us go through each role in detail.
Role 1: Head, AI Unit (Team Lead) — Abuja, Nigeria (Full-Time)
What This Role Is
The Head of the AI Unit is the person who sets the direction. This is a leadership position in the truest sense of the word. The individual taking this role will be responsible for defining the AI strategy for NASENI, deciding what gets built, what gets deployed, what gets shelved, and how the entire AI operation is reported up the chain to senior leadership.
Beyond strategy, this person will drive organizational AI adoption. That is a phrase worth unpacking, because it involves a lot more than just getting people to use new software. Driving AI adoption inside a government agency means convincing department heads who have been doing things a certain way for decades that there is a better way. It means managing resistance, building trust, demonstrating value, and sustaining momentum even when early experiments do not produce perfect results.
The role also involves leading diverse teams to execute objectives with speed and excellence. This combination of speed and excellence is demanding. Speed without excellence produces broken systems. Excellence without speed produces solutions that arrive too late to matter. The Head of the AI Unit needs to hold both simultaneously, and that requires exceptional leadership instincts.
Why an External Candidate Is Preferred
The fact that NASENI is explicitly marking this role as preferring an external candidate is significant. It signals that the agency recognises it needs someone who comes with a fresh perspective, broad external experience, and no legacy attachments to how things have always been done internally.
This is a refreshingly honest signal. Many public institutions prefer to promote from within, even when the internal candidate pool does not have the depth required for a new kind of role. NASENI is openly saying: we need someone who has done this before, possibly in the private sector, in a global technology company, or in another country’s equivalent institution.
If you are a Nigerian professional who has spent years in AI leadership at a technology company, a consultancy, or an international development organisation, this role is directly calling for you.
What Kind of Person Should Apply
The ideal candidate for this role needs a combination of technical literacy and organisational leadership. You do not necessarily need to be the best machine learning engineer in the room. But you absolutely need to understand what machine learning can and cannot do, what responsible AI deployment looks like, and what organisational change management requires.
Strong candidates will likely have experience building or scaling AI functions, not just contributing to them. They will have led teams of diverse specialists, managed budgets, presented to boards or executive leadership, and navigated the complicated politics that come with introducing disruptive technology into established organisations.
A background in Nigeria or broader African contexts is a major plus, though not because the problems are fundamentally different, but because the solutions often need to be adapted to local realities. Understanding how public sector institutions operate in Nigeria, including their constraints, their cultures, and their communication styles, will make the difference between a strategy that looks good on paper and one that actually gets implemented.
Role 2: Machine Learning (ML) / DevOps Engineer Lead — Abuja, Nigeria (Full-Time)
What This Role Is
If the Head of the AI Unit is the brain of the operation, the ML/DevOps Engineer Lead is the spine. This is the person who builds and manages the technical infrastructure that makes AI actually work at scale.
The role specifically mentions MLOps pipelines, and this is worth explaining for anyone unfamiliar with the term. MLOps, short for Machine Learning Operations, refers to the set of practices and tools used to reliably and efficiently deploy, monitor, and maintain machine learning models in production. A lot of organisations can train a model in a research environment. Fewer can take that model and operate it reliably in a real-world system that serves actual users and handles actual data at scale.
This Engineer Lead will also be responsible for overseeing the technical architecture that makes all of this possible. From cloud infrastructure to model versioning to monitoring dashboards that catch when a model starts performing unexpectedly, this person keeps the entire technical engine running.
Why an Internal Candidate Is Preferred
Interestingly, this role prefers someone already within NASENI. The logic here is sound. An internal candidate already understands the agency’s existing systems, its technical infrastructure (or lack thereof), its data environment, and its organisational constraints. Building MLOps pipelines is not done in a vacuum. It requires deep knowledge of what you are connecting to, what data exists, where it lives, how it is structured, and what security and compliance requirements apply.
An internal candidate who already navigates NASENI’s environment will spend far less time getting up to speed on context and far more time actually building.
That said, if you are an external candidate with genuinely exceptional MLOps experience and a strong ability to integrate quickly into complex existing environments, it is worth checking the application details anyway.
What Kind of Person Should Apply
This role demands serious hands-on engineering experience. Candidates should have built and operated ML pipelines before, ideally in production environments with real stakes. Experience with tools like Kubernetes, Docker, MLflow, Airflow, or similar orchestration and monitoring platforms will be expected.
Equally important is communication skill. This is a lead role, meaning the engineer will also manage other engineers. The best technical people are not always the best technical leads. The ability to translate complex infrastructure decisions into clear language for non-technical stakeholders, to mentor junior team members, and to coordinate across different functional teams is just as important as coding ability.
Role 3: Business / Domain Lead — Abuja, Nigeria (Full-Time)
What This Role Is
This might be the most underappreciated role in the entire team, and yet it could be the one that determines whether the whole AI Unit succeeds or fails.
The Business/Domain Lead is responsible for bridging technical AI capabilities with business strategy. In practical terms, this means the person in this role is the translator. They take what the engineers can build and help leadership and programme teams understand what it means for their work. Simultaneously, they take the goals and priorities of NASENI’s various programmes and translate those into requirements that the technical team can actually work with.
This role also focuses on ensuring that AI initiatives deliver measurable value, alignment, and real-world impact. Those three words matter enormously. “Measurable value” means the team is not just building technology for its own sake but actually solving problems that can be quantified. “Alignment” means the AI work is connected to NASENI’s broader institutional strategy rather than drifting into interesting-but-irrelevant territory. “Real-world impact” is the most important of all, it means the work actually changes something in the physical world, for real people.
Why Internal Candidates Are Preferred Here Too
An internal NASENI candidate for this role brings something that no amount of consulting experience can easily replicate: genuine domain knowledge about what the agency does, what its mandates are, where its pain points lie, and which stakeholders hold influence over key decisions.
The business and domain landscape within a Nigerian government agency is specific. Understanding the procurement processes, the reporting cycles, the political sensitivities, and the existing programme structures is genuinely valuable. A Business Lead who walks in from outside and has to spend six months just learning how the institution works will struggle to deliver quickly.
What Kind of Person Should Apply
The ideal candidate for this role sits at a rare intersection. They need enough technical literacy to hold meaningful conversations with AI engineers without needing every concept explained from scratch. But they also need business strategy skills, stakeholder management experience, and ideally sector-specific knowledge in areas like infrastructure, manufacturing, agriculture, or whichever domains NASENI’s work touches most directly.
Experience with digital transformation projects in the public sector is a significant advantage. If you have ever worked on a government technology initiative and navigated the challenge of making it actually useful rather than just technically sound, you understand the exact kind of problems this role exists to solve.
Role 4: Hardware Embedded Engineer — Abuja, Nigeria (Full-Time)
What This Role Is
This role might surprise some people who think of AI as purely a software-and-data discipline. But the reality of deploying AI in a country like Nigeria, especially through a mandate-driven agency like NASENI, is that you often need to deploy intelligence on physical devices in environments where cloud connectivity is unreliable or expensive.
The Hardware Embedded Engineer is responsible for designing and integrating hardware, firmware, and embedded systems to efficiently deploy AI models on physical and edge devices. Edge AI, as this area is commonly known, is one of the fastest-growing specialisations in the global technology industry. It involves running AI models directly on devices like sensors, cameras, microcontrollers, and specialised chips rather than sending all the data to a central cloud server for processing.
For Nigeria, this matters enormously. Think about AI applications in agriculture (sensors in fields), healthcare (diagnostic devices in rural clinics), or security (camera systems with local processing). In all of these scenarios, relying entirely on cloud connectivity would make the system fragile or prohibitively expensive. Edge deployment solves that problem.
Why This Role Is Strategically Critical
NASENI’s mandate has always involved physical infrastructure. The agency has historically worked with manufacturing, engineering systems, and physical technology. Adding embedded AI capability to that mix is a natural and powerful extension of what NASENI already does. It creates the possibility of genuinely local, genuinely deployable AI systems rather than cloud-dependent tools that only work in Lagos or Abuja with stable internet access.
This role is therefore not just about filling a technical gap. It is about ensuring that NASENI’s AI work is relevant to all of Nigeria, not just the urban centres with good connectivity.
What Kind of Person Should Apply
Candidates should have hands-on experience with embedded systems development. Familiarity with platforms like Raspberry Pi, NVIDIA Jetson, STM32 microcontrollers, or similar edge hardware is relevant. Experience with frameworks for deploying models on low-power devices such as TensorFlow Lite or ONNX Runtime will be expected.
Knowledge of firmware development, real-time operating systems, and hardware-software integration is core to this role. If you have also worked on any projects involving AI model optimisation for constrained hardware (quantisation, pruning, and similar techniques), that experience places you in a strong position.
Role 5: Media / Communications Lead — Abuja, Nigeria (Full-Time)
What This Role Is
Here is a role that often gets dismissed as “just communications” but is actually one of the most strategically important positions in any AI team, especially one operating inside a government institution.
The Media/Communications Lead is responsible for translating AI initiatives for diverse audiences, driving ethical messaging, trust, adoption, and risk management through strategic communication. Every single word in that description matters.
“Translating AI initiatives for diverse audiences” — this means explaining what the AI Unit does in ways that make sense to farmers in Kano, policy makers in Aso Rock, journalists in Lagos, and international development partners in Geneva. These are not the same audience, and they need different messages crafted in different styles.
“Driving ethical messaging” — AI raises genuine ethical questions, especially in a developing country context. Issues around data privacy, algorithmic bias, and the displacement of workers are real concerns that deserve honest and careful communication. A good Communications Lead does not paper over these concerns. They help the organisation navigate them transparently, which actually builds more trust than pretending they do not exist.
“Trust and adoption” — technology that people do not trust does not get used, no matter how good it is technically. The Communications Lead plays a direct role in building public trust in NASENI’s AI work, which ultimately determines whether the technology achieves impact.
“Risk management through strategic communication” — every public institution faces communication crises. Having someone skilled in this area before something goes wrong, not after, is a mark of institutional maturity.
Why an External Candidate Is Preferred
Like the Head of the AI Unit, this role prefers an external candidate. Communications strategy for an AI unit is a relatively new discipline, and NASENI probably does not have someone internally who has done exactly this before. An external candidate who has worked in technology communications, science communication, or public sector digital communications brings exactly the fresh expertise and external perspective this role demands.
What Kind of Person Should Apply
Strong candidates will have experience in communications, journalism, public relations, or media strategy, combined with enough interest in technology to genuinely engage with complex AI topics. You do not need to understand how neural networks work at a mathematical level. But you need to be able to explain AI concepts clearly, accurately, and compellingly to a wide range of audiences.
Experience with public sector communications in Nigeria is valuable. Understanding how Nigerian media works, how public trust in government institutions is built and eroded, and how to craft messages that land in a complex information environment will make this candidate far more effective than someone with great communications skills but no local context.
Why These Five Roles Together Form a Complete AI Team
It is worth pausing to appreciate just how thoughtfully this team has been designed. Each role covers a distinct but interconnected dimension of what it takes to build and operate AI capability inside a large institution.
The Head provides strategic direction and leadership. The ML/DevOps Engineer builds and maintains the technical infrastructure. The Business/Domain Lead ensures the work stays relevant and impactful. The Hardware Embedded Engineer makes the technology deployable in real-world, low-connectivity environments. The Communications Lead ensures the work is understood, trusted, and adopted.
Remove any one of these roles and the team becomes significantly less effective. Without strategy, the technical work drifts. Without solid engineering, the strategy never becomes real. Without business alignment, technically excellent systems fail to deliver measurable value. Without hardware capability, the AI only works in ideal conditions. Without communications, even the best work gets misunderstood, distrusted, or ignored.
This is exactly how a mature, well-resourced AI function should be structured. The fact that NASENI has designed it this way is itself encouraging news for anyone considering whether this organisation is serious about making its AI ambitions real.
Why AI in Nigerian Public Institutions Matters So Much Right Now
Let us zoom out for a moment, because these five job openings sit within a much larger story that deserves to be told.
Nigeria is the most populous country in Africa, with a population approaching 220 million people and a projected trajectory that makes it one of the largest economies in the world by mid-century, at least in terms of raw population size. The country faces extraordinary challenges in agriculture, healthcare, education, infrastructure, security, and public service delivery.
Many of these challenges are not simply problems of resource availability. They are problems of coordination, information, decision-making, and efficiency. These are exactly the kinds of problems that well-designed AI systems can help address.
In recent years, there has been growing recognition across African governments that artificial intelligence is not a luxury technology or a futuristic concept. It is a present-tense tool that countries need to begin building capability in now, before the gap between AI-advanced nations and AI-developing nations becomes too wide to bridge.
Nigeria has several natural advantages in this space. A large and growing population of young, educated technology professionals. A vibrant private technology sector centred on Lagos that has already produced globally recognised companies. A strong diaspora community with expertise in top global technology firms. And now, increasingly, government institutions like NASENI that are taking the work of building national AI capability seriously.
The roles in this recruitment round are therefore not just jobs. They are nation-building positions. The people who fill them will play a direct role in shaping how Nigeria’s government uses AI, which in turn will shape how millions of Nigerians experience the services, infrastructure, and systems that government provides.
What Makes a NASENI AI Role Different from Working in the Private Sector
If you are currently working in a private technology company, either in Nigeria or abroad, and you are weighing whether a NASENI role makes sense for you, this is an important question to think through carefully.
Working in the private sector has obvious advantages: typically higher immediate compensation, clearer performance metrics, faster decision-making cycles, and often better access to cutting-edge tools and infrastructure. If you are optimising purely for salary or technical exposure to the latest tools, a private sector role will often win that comparison.
But working in NASENI’s AI Unit offers something that the private sector genuinely cannot match: the scale and permanence of public impact.
When a private company deploys an AI system, it typically does so to generate revenue for its shareholders. The impact, even when positive, is ultimately filtered through a commercial lens. When a government agency deploys an AI system well, the benefits go directly to the public. A well-designed early-warning system for infrastructure failure prevents avoidable disasters. A well-built agricultural advisory system improves yields for smallholder farmers who might otherwise lose their livelihoods. A well-implemented health screening tool extends the reach of overstretched healthcare workers to communities that have never seen a specialist.
These are the kinds of outcomes that NASENI’s AI work could produce. And the people who build those systems get to carry that contribution with them for the rest of their careers.
There is also a professional development angle that should not be dismissed. Building AI capability inside a large, complex public institution in a developing country is genuinely hard. The constraints are real. The politics are complicated. The infrastructure is often inadequate. The data is frequently messy, incomplete, or inaccessible. Working through those challenges builds a depth and breadth of problem-solving experience that polished corporate environments sometimes cannot replicate. If you can make AI work inside NASENI, you can make it work almost anywhere.
Addressing the Concerns That Qualified Candidates Might Have
It would not be honest to talk about this recruitment opportunity without acknowledging the concerns that many qualified professionals will naturally have about working in a Nigerian government institution.
Concern 1: Bureaucratic slowness
This is a legitimate concern. Government institutions everywhere tend to move more slowly than private sector organisations, and Nigerian public institutions have a well-documented history of bureaucratic inertia. The honest answer is that this risk is real, and no job posting can eliminate it.
What makes this situation somewhat different is the specific nature of the AI Unit mandate. This is a new function, not an existing department with decades of established procedures. New units within government agencies can often operate with more agility than the broader institution around them, particularly when they have strong leadership and senior-level backing. Whether NASENI’s AI Unit will successfully maintain that agility is something that the incoming Head and Business Lead, in particular, will have significant influence over.
Concern 2: Salary and compensation
Salaries in Nigerian public sector roles are typically lower than private sector equivalents, and that gap is even wider when compared to diaspora compensation packages from global technology companies. This is a real consideration for anyone evaluating whether to make this career move.
NASENI has not publicly announced specific compensation figures for these roles. Candidates interested in applying should review the detailed job descriptions for information on remuneration and benefits. Some government roles in Nigeria’s emerging technology institutions have been structured with competitive packages specifically to attract private sector talent. The fact that external candidates are preferred for the Head and Communications roles suggests the agency is aware it needs to compete for talent beyond its traditional applicant pool.
Concern 3: Political uncertainty
Nigeria’s political environment adds a layer of uncertainty to any government role. Budget allocations shift, ministerial priorities change, and initiatives that one administration championed can be deprioritised under the next. Again, this is a real consideration.
But it is also worth noting that NASENI’s mandate is structural rather than political. The need for science and engineering infrastructure does not change with electoral cycles. The AI Unit, if it establishes early wins and demonstrates tangible value, will be harder to discontinue than a political initiative without demonstrated impact. Building those early wins quickly is part of what the first team of hires needs to focus on.
Tips for Applying to NASENI’s AI Unit Roles
If you have read this far and you are seriously considering applying, here are some concrete thoughts on how to approach the application process.
Be specific about impact, not just activity. Government applications often attract candidates who describe what they did without explaining what changed because of what they did. In a team that is specifically structured around measurable value and real-world impact, candidates who can articulate concrete outcomes from their past work will stand out immediately.
Demonstrate familiarity with the Nigerian or African context. Even if you are applying from the diaspora or transitioning from a global company, showing that you understand the specific challenges and opportunities in the Nigerian environment signals that your experience will translate effectively.
Address the tension between speed and quality proactively. The Head of AI Unit role specifically mentions “speed and excellence” together. This combination is tension-filled by nature. In interviews or application materials, showing that you have navigated this tension before, and how you think about balancing it, will demonstrate real-world leadership maturity.
Show genuine curiosity about public sector AI. Candidates who want any AI job will apply. Candidates who specifically want to build AI capability in a Nigerian government institution because they understand why it matters will make a different impression. Be specific about why NASENI’s mission resonates with you.
Tailor your application to the specific role. These five roles are genuinely different from each other. A generic application that could apply to any of them will be weaker than a targeted one that addresses the specific responsibilities and challenges of the role you are applying to.
NASENI’s AI Unit and Nigeria’s National AI Strategy
It is also worth understanding how NASENI’s AI Unit fits into Nigeria’s broader national AI landscape.
Nigeria launched its National Artificial Intelligence Strategy in recent years, positioning itself as a country committed to leveraging AI for development. The strategy covers areas including education, healthcare, agriculture, and public services. It identifies the need to build domestic AI capacity rather than remaining purely a consumer of AI technologies developed elsewhere.
NASENI’s AI Unit is one of the institutional anchors that gives that strategy its teeth. A national AI strategy without agencies capable of executing AI work is just a document. NASENI, with its engineering infrastructure mandate and its physical presence across the country, has the potential to be a genuine delivery engine for national AI ambitions.
The people hired in this recruitment round will be working at the point where strategy becomes execution. They will face the daily reality of turning ambitious policy goals into functioning systems that actually serve Nigerians. That is demanding work, but it is also work that positions them to shape the trajectory of Nigeria’s AI development in ways that very few career roles anywhere can match.
A Message to Nigerian Professionals in the Diaspora
A significant portion of Nigeria’s most experienced technology professionals currently work outside the country, in the United Kingdom, the United States, Canada, Germany, and across other technology hubs globally. Many of them carry a genuine desire to contribute to Nigeria’s development but have struggled to find concrete opportunities that match their skills and offer a credible path to impact.
This NASENI recruitment round is worth paying serious attention to.
The AI Unit Head role, which explicitly prefers an external candidate, is structured almost as a direct invitation to diaspora professionals. The role does not require you to abandon everything you have built externally. It asks you to bring that experience home and apply it to one of the most consequential challenges in Nigeria’s development story.
If you have been waiting for an opportunity that is specific, credible, and genuinely impactful, this deserves more than a passing glance. Building Nigeria’s first serious institutional AI team is the kind of career chapter that does not come around twice.
How These Roles Could Evolve Over Time
It is also worth thinking about what success in these roles could look like two, three, or five years from now.
If the AI Unit is built well and achieves early demonstrable impact, it will almost certainly grow. The five initial hires will become a team of fifteen, then thirty, then more. The people who built the foundation will become the institutional memory and leadership of a much larger function. That kind of career trajectory is genuinely rare and genuinely valuable.
There is also a ripple effect to consider. A successful government AI Unit creates proof of concept for other agencies. It trains and develops professionals who go on to apply those skills across the public sector. It demonstrates to international partners and investors that Nigeria has the institutional capacity to deploy AI responsibly, which opens doors to funding, collaboration, and technology transfer. The contribution of these first five hires, if they do their jobs well, will echo through Nigeria’s technology and governance landscape for a very long time.
The Ethical Responsibility That Comes With These Roles
No honest discussion of AI roles in a government institution should skip the ethics. The work of building AI systems for public use comes with genuine responsibilities that go beyond technical correctness or institutional success.
AI systems that process data about citizens can entrench existing inequalities if designed without care for fairness. Systems deployed without meaningful accountability mechanisms can cause harm without anyone being held responsible. Technologies introduced without adequate public communication can erode trust in government institutions rather than building it.
The roles in this recruitment round include explicit attention to these issues. The Communications Lead is specifically tasked with ethical messaging. The Business/Domain Lead is focused on ensuring AI initiatives deliver genuine, measurable value rather than just impressive technology demonstrations. The Head of the AI Unit carries overall accountability for the team’s work, including its ethical dimensions.
These are not just compliance obligations. They are the foundation on which any AI work in a public institution either builds lasting legitimacy or collapses into another story of failed government technology investment. The professionals who join this team need to take the ethical dimensions of their work as seriously as the technical ones.
Summary of All Five Roles
To bring everything together clearly, here is a concise summary of what each role involves and who it is designed for:
Head, AI Unit (Team Lead) — Based in Abuja, full-time. Defines AI strategy, oversees deployment and reporting, drives organisational adoption, leads the full team. External candidate preferred. Suited for experienced AI leaders with strong institutional leadership and change management skills.
Machine Learning / DevOps Engineer Lead — Based in Abuja, full-time. Builds and manages MLOps pipelines and scalable ML infrastructure, oversees model deployment and monitoring, defines technical architecture. Internal NASENI candidate preferred. Suited for experienced ML engineers with strong DevOps and infrastructure skills.
Business / Domain Lead — Based in Abuja, full-time. Bridges technical AI capabilities with business strategy, ensures measurable value, alignment, and real-world impact. Internal NASENI candidate preferred. Suited for professionals with business strategy skills, sector domain knowledge, and enough technical literacy to work closely with AI engineers.
Hardware Embedded Engineer — Based in Abuja, full-time. Designs and integrates hardware, firmware, and embedded systems for AI deployment on physical and edge devices. Internal NASENI candidate preferred. Suited for embedded systems engineers with experience in edge AI deployment.
Media / Communications Lead — Based in Abuja, full-time. Translates AI initiatives for diverse audiences, drives ethical messaging, builds trust, manages adoption and risk through strategic communication. External candidate preferred. Suited for communications professionals with strong technology literacy and public sector or science communication experience.
FAQs
What is NASENI recruitment about in 2026?
NASENI recruitment in 2026 focuses on building a brand-new AI Unit within the National Agency for Science and Engineering Infrastructure. The agency is currently hiring for five key roles including Head of AI Unit, ML/DevOps Engineer Lead, Business/Domain Lead, Hardware Embedded Engineer, and Media/Communications Lead, all based in Abuja, Nigeria on a full-time basis.
What positions are available in the current NASENI recruitment exercise?
The current NASENI recruitment exercise has five open positions:
Head, AI Unit (Team Lead)
Machine Learning (ML) / DevOps Engineer Lead
Business / Domain Lead
Hardware Embedded Engineer
Media / Communications Lead
All positions are full-time and located in Abuja, Nigeria.
Who can apply for the NASENI AI Unit Head position?
The Head of AI Unit position at NASENI prefers an external candidate. This means the agency is actively looking beyond its internal workforce and welcoming applications from private sector professionals, diaspora Nigerians, and individuals with proven AI leadership experience from technology companies, consultancies, or international development organisations.
Does NASENI recruit external candidates or only internal staff?
NASENI recruits both external and internal candidates depending on the role. The Head of AI Unit and Media/Communications Lead positions explicitly prefer external candidates. The ML/DevOps Engineer Lead, Business/Domain Lead, and Hardware Embedded Engineer roles prefer internal NASENI candidates, though the full eligibility details are available in each role’s official job description.
What qualifications do you need for the NASENI ML/DevOps Engineer Lead role?
The ML/DevOps Engineer Lead role at NASENI requires hands-on experience building and managing MLOps pipelines, scalable machine learning infrastructure, and model deployment systems. Familiarity with tools like Docker, Kubernetes, MLflow, and similar platforms is expected. Strong technical architecture knowledge and team leadership skills are also key requirements for this position.
What does the NASENI Business/Domain Lead role involve?
The Business/Domain Lead at NASENI bridges the gap between the technical AI team and the agency’s broader organisational strategy. The role focuses on ensuring AI projects deliver measurable real-world value, maintain alignment with institutional goals, and produce tangible impact across NASENI’s programmes. It suits professionals with both business strategy experience and enough technical literacy to collaborate closely with AI engineers.
What is the NASENI Hardware Embedded Engineer responsible for?
The Hardware Embedded Engineer at NASENI is responsible for designing and integrating hardware, firmware, and embedded systems that allow AI models to run on physical and edge devices. This is particularly important for deploying AI solutions in environments across Nigeria where cloud connectivity may be limited or unreliable, making edge AI deployment a critical capability for the agency.
Why is NASENI hiring a Media/Communications Lead for its AI Unit?
NASENI is hiring a Media/Communications Lead because effective communication is essential to the success of any AI initiative, especially within a government institution. The role is responsible for translating complex AI work into clear messages for diverse audiences, building public trust, driving ethical messaging, supporting adoption of AI tools, and managing communication risks before they escalate into institutional problems.
Where are the NASENI AI Unit jobs located?
All five current NASENI AI Unit roles are located in Abuja, Nigeria and are advertised as full-time positions. Candidates should be prepared to work from NASENI’s Abuja offices.
Can Nigerians in the diaspora apply for NASENI recruitment?
Yes, Nigerians in the diaspora can apply for NASENI recruitment, particularly for the roles that explicitly prefer external candidates. The Head of AI Unit and Media/Communications Lead positions are the most directly relevant for diaspora professionals. These roles are designed to bring in experienced professionals from outside NASENI’s existing workforce, making them accessible to qualified Nigerians working abroad in technology, AI, communications, or related fields.
Is the NASENI AI Unit a new department?
Yes, NASENI’s AI Unit is a newly established function within the agency. The current recruitment round is specifically aimed at building this unit from the ground up, hiring the foundational team that will define its strategy, infrastructure, operations, and communications from day one.
What is the purpose of NASENI’s AI Unit?
The purpose of NASENI’s AI Unit is to lead the agency’s artificial intelligence strategy, oversee the deployment of AI systems, drive organisational adoption of AI technologies across NASENI’s programmes, and ensure that AI tools deliver measurable, real-world value aligned with Nigeria’s national development goals.
How do I apply for NASENI recruitment 2025?
To apply for NASENI recruitment 2025, candidates should visit NASENI’s official website and navigate to the careers or recruitment section. Each role has a dedicated “View Details” and “Apply Now” option. Applicants are advised to review the specific requirements and candidate preference notes (external vs. internal) before submitting their application.
What makes NASENI’s AI recruitment different from typical government job postings?
Unlike most government job postings that focus on administrative or regulatory roles, NASENI’s current recruitment round is specifically targeting highly specialised technology professionals including AI strategists, machine learning engineers, hardware embedded engineers, and communications experts. The structured team design, clear role mandates, and explicit preference for external talent in key positions makes this recruitment round significantly more competitive and forward-looking than a typical public sector exercise.
What is MLOps and why does NASENI need an MLOps engineer?
MLOps, short for Machine Learning Operations, refers to the practices and tools used to deploy, monitor, and maintain machine learning models reliably in real-world production environments. NASENI needs an MLOps engineer because building AI models is only one part of the challenge. Keeping those models working accurately, efficiently, and securely over time in a live system is a separate and equally critical skill set that the ML/DevOps Engineer Lead role is specifically designed to address.
What is edge AI and why is it relevant to NASENI’s Hardware Embedded Engineer role?
Edge AI refers to running artificial intelligence models directly on physical devices, such as sensors, cameras, or microcontrollers, rather than sending data to a remote cloud server for processing. It is highly relevant to NASENI because many of Nigeria’s key development challenges, particularly in agriculture, healthcare, and infrastructure, occur in areas where internet connectivity is inconsistent. Deploying AI on edge devices ensures that intelligent systems can operate reliably across all of Nigeria, not just in cities with stable connectivity.
How many people is NASENI hiring for its AI Unit?
NASENI is currently hiring for five positions in its AI Unit: one Head (Team Lead), one ML/DevOps Engineer Lead, one Business/Domain Lead, one Hardware Embedded Engineer, and one Media/Communications Lead. These five roles represent the founding team of the unit.
What is NASENI’s full name and what does it do?
NASENI stands for the National Agency for Science and Engineering Infrastructure. It is a Nigerian government agency established to develop, promote, and harness science and engineering capabilities for national development. The agency works across areas including manufacturing, technology infrastructure, research, and engineering solutions aimed at closing Nigeria’s industrial and technological development gaps.
Conclusion
Job postings come and go. Most of them are genuinely routine. This one is not.
NASENI recruitment for an AI Unit in 2025 represents something that Nigeria has been building toward for years without quite arriving at this specific moment before. It is a government agency, with a genuine mandate and national reach, investing seriously in building an internal AI capability from the ground up. It is doing so with a thoughtfully designed team structure that covers leadership, engineering, business alignment, hardware deployment, and communications simultaneously. It is actively seeking candidates from outside its traditional pool because it recognises the need for fresh expertise.
The people who take these roles will not just be filling positions. They will be writing the first chapter of how one of Africa’s largest countries builds and uses artificial intelligence at a national institutional level. That chapter matters, and it will matter for a long time.
If you have the experience, the commitment, and the appetite for this kind of work, the time to look more closely at this opportunity is right now.
Visit NASENI’s official recruitment portal, review the detailed job specifications for the role that matches your background, and take the first step toward what could genuinely be one of the most impactful career decisions you ever make.
Nigeria’s AI future is being built. The question is whether you will be one of the people building it.
