Job Vacancies at National Agency for Science and Engineering Infrastructure (NASENI)

Role Overview

• The Head of the AI Unit provides strategic leadership for the planning, coordination, and deployment of artificial intelligence initiatives aligned with national priorities. This role is critical to driving AI adoption across the organization, ensuring effective execution, accountability, and measurable impact through strong leadership and change management.

Key Responsibilities

• Responsible for defining AI strategy and long-term direction aligned with organizational and national objectives.
• Responsible for overseeing AI program execution, coordination, reporting, and performance management.
• Responsible for driving organization-wide AI adoption through structured change management initiatives.
• Responsible for leading and managing a diverse, multidisciplinary AI team.
• Responsible for ensuring timely execution of AI initiatives with clarity, speed, and operational excellence.

Required Experience & Skills

Required

• Senior leadership experience in AI, data, or digital transformation initiatives.
• Proven ability to execute strategy in complex, multi-stakeholder environments.
• Strong change management and organizational leadership capabilities.

Desirable

• Experience in public sector, regulated industries, or national-scale programs.
• Exposure to AI governance, ethics, or policy frameworks.

Who This Role Is For / Not For

This Role Is For...

• Strategic leaders who combine long-term vision with disciplined execution.
• Professionals experienced in driving organizational change and AI adoption.
• Leaders comfortable managing diverse, multidisciplinary teams and stakeholders.

This Role Is Not For...

• Candidates seeking purely advisory, academic, or non-executive roles.
• Leaders uncomfortable with accountability, delivery pressure, or public scrutiny.

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Role Overview

• The ML / DevOps Engineer Lead is responsible for operationalizing AI systems through robust MLOps practices, ensuring models move reliably from research into production. This role bridges data science, engineering, and infrastructure to enable scalable, secure, and high-performance AI deployments.

Key Responsibilities

• Responsible for building and managing CI/CD pipelines for ML model training, deployment, and monitoring.
• Responsible for designing scalable, reliable ML infrastructure and technical architecture.
• Responsible for overseeing model performance monitoring, drift detection, and continuous improvement.
• Responsible for implementing infrastructure-as-code, automated testing, and MLOps best practices.
• Responsible for leading and coordinating a technical sub-team delivering production-grade AI systems.

Required Experience & Skills

Required

• Strong experience in MLOps, DevOps, and cloud or hybrid infrastructure.
• Hands-on expertise deploying and maintaining ML systems in production.
• Proficiency with CI/CD pipelines, monitoring tools, and automation frameworks.

Desirable

• Experience supporting AI systems in regulated or mission-critical environments.
• Familiarity with data security and compliance considerations.

Who This Role Is For / Not For

This Role Is For...

• Engineers who excel at operationalizing AI systems at scale.
• Technical leaders experienced in bridging data science and production environments.
• Professionals comfortable owning infrastructure reliability and performance outcomes.

This Role Is Not For...

• Candidates focused solely on research without deployment responsibility.
• Engineers unwilling to engage with operational complexity or team leadership.

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Role Overview

• The Business / Domain Lead ensures that AI initiatives align with strategic objectives and deliver measurable real-world value. This role acts as the bridge between technical teams and business or policy stakeholders.

Key Responsibilities

• Responsible for translating business needs into AI-driven solutions.
• Responsible for aligning AI initiatives with strategic and operational objectives.
• Responsible for validating use cases and measuring impact and outcomes.
• Responsible for facilitating collaboration between technical and non-technical teams.

Required Experience & Skills

Required

• Strong experience in business analysis, domain expertise, or strategy roles.
• Ability to work closely with technical teams on complex initiatives.

Desirable

• Experience in public-sector transformation or innovation programs.

Who This Role Is For / Not For

This Role Is For...

• Professionals skilled at translating strategic objectives into actionable initiatives.
• Individuals experienced in bridging technical teams and business or policy stakeholders.
• Leaders focused on measurable outcomes and real-world impact.

This Role Is Not For...

• Candidates focused exclusively on technical implementation.
• Professionals uncomfortable working across disciplines or managing ambiguity.

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Role Overview

• The Hardware Embedded Engineer enables AI deployment on physical and edge devices by designing efficient hardware and firmware systems. This role ensures AI models operate reliably beyond cloud environments.

Key Responsibilities

• Responsible for designing embedded hardware and low-level firmware for AI applications.
• Responsible for integrating AI models with physical and edge devices.
• Responsible for optimizing performance, power efficiency, and reliability.
• Responsible for supporting testing and deployment of embedded AI systems.

Required Experience & Skills

Required

• Experience in embedded systems, firmware development, or hardware engineering.
• Familiarity with deploying AI models on constrained devices.

Desirable

• Experience with edge AI or IoT systems.

Who This Role Is For / Not For

This Role Is For...

• Engineers passionate about deploying AI on physical and edge devices.
• Professionals experienced in embedded systems, firmware, and hardware integration.
• Individuals focused on performance, efficiency, and reliability.

This Role Is Not For...

• Software-only engineers without interest in hardware-level work.
• Candidates seeking purely theoretical or research-oriented roles.

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Role Overview

• The Media and Communications Lead ensures clear, transparent, and ethical communication of AI initiatives to internal and external stakeholders. This role supports trust-building, adoption, and risk management through strategic messaging.

Key Responsibilities

• Responsible for translating complex AI initiatives for diverse audiences.
• Responsible for ensuring ethical, transparent, and consistent AI communication.
• Responsible for managing reputational risks, bias concerns, and misinformation.
• Responsible for leveraging AI tools for media analysis and content delivery.

Required Experience & Skills

Required

• Experience in communications, media strategy, or public engagement.
• Strong ability to explain complex topics clearly and responsibly.

Desirable

• Experience in crisis communication or technology-focused messaging.

Who This Role Is For / Not For

This Role Is For...

• Communication professionals skilled at explaining complex technologies clearly.
• Leaders focused on trust-building, transparency, and ethical messaging.
• Individuals experienced in stakeholder engagement and risk-aware communication.

This Role Is Not For...

• Candidates focused solely on promotional or marketing-driven communication.
• Professionals uncomfortable handling public scrutiny or sensitive narratives.