Job in Kenya
Senior AI Engineer / AI Technical Lead
CountyNairobi CountyCityNot specifiedContractFull TimePosted2026-08-19Close dateNot specifiedExperience5 yearsSourceMyJobMag Kenya
Senior AI EngineerAI Technical LeadArtificial IntelligenceMachine LearningLLMsRAGNairobiFull TimeOnsiteICTsecurityinternship
AI summary
Green Com Enterprise Solutions Ltd is hiring a Senior AI Engineer / AI Technical Lead in Nairobi to build its new AI and emerging technologies capability. The role is hands-on, covering solution architecture, coding, prototyping, deploying AI applications, and mentoring engineers. Candidates should have strong Python and AI engineering skills, including LLMs, RAG, embeddings, vector databases, cloud AI platforms, and enterprise integration.
- Hands-on technical leadership role building a new AI capability from scratch
- Focus on LLMs, RAG, embeddings, vector databases, and enterprise AI integration
- Requires 5 years experience and a BA/BSc/HND in a relevant field
- Full-time, onsite position based in Nairobi, Kenya
- Experience with Azure AI, OpenAI APIs, Hugging Face, PyTorch/TensorFlow is advantageous
AI job guide
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AI salary guide
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Can you qualify for this role?
- Required5+ years of relevant experienceThe job post includes a minimum experience signal.
- RequiredEducation or certification mentioned in the postThe captured text mentions education, a diploma, certificate, or licence.
- PreferredPractical evidence in security, internship, segurancaThe tags and summary point to skills connected with this role.
- RequiredAvailability to work in Not specifiedThe vacancy is associated with this location.
- UnclearComfort with the Full Time contract termsConfirm hours, duration, probation and benefits at the original source.
Documents to prepare
- Likely requiredUpdated CV
- Role specificCover letter or short employer message
- OptionalProfessional references
- Role specificAcademic or professional certificates
- VerifyID or passport only after verifying the employer
Application tips for this job
- Place your strongest Senior AI Engineer / AI Technical Lead evidence in the first half of your CV.
- In your cover letter or employer message, connect your experience to Green Com Enterprise Solutions Ltd and the role in Not specified.
- Add concrete examples related to security, internship, seguranca, ideally with measurable outcomes or clear responsibilities.
- Follow the instructions from MyJobMag Kenya; avoid sending documents to unofficial contacts or copied links.
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- Deadline not specified
- No major risk signal was detected in the captured text.
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Interview preparation
- What experience makes you a strong fit for this Senior AI Engineer / AI Technical Lead role in security, internship?
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- Are you available to work in Not specified under the listed contract or schedule?
- Prepare examples with clear responsibilities, tools used and measurable outcomes.
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Original source description
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Green Com Enterprise Solutions ltd is a Microsoft Certified Business Solutions Partner authorized to resell and customize enterprise-wide applications based on the Microsoft Dynamics NAV and AX platforms. Our primary role is to help organizations use information communication technology to reduce operating costs and realize the business value from their tech...
Read more about this company
Senior AI Engineer / AI Technical Lead
Job Type
Full Time
,
Onsite
Qualification
BA/BSc/HND
Experience
- 5 years
- Location
- Nairobi
- Job Field
- Data, Business Analysis and AI
- ,
- ICT / Computer
- The Opportunity
- Green Com Enterprise Solutions Limited is establishing an Artificial Intelligence & Emerging Technologies capability to develop secure, practical and enterprise-grade AI solutions for government, regulatory and enterprise organizations.
- We are seeking a highly hands-on
- Senior AI Engineer / AI Technical Lead
- who will play a foundational role in building this capability.
- This is not purely a management position. The successful candidate will be expected to architect solutions, write code, build prototypes, deploy AI applications, mentor engineers and help transform business
- with technologies such as
- Azure AI services, Azure OpenAI/OpenAI APIs, Hugging Face, PyTorch or TensorFlow, LangChain/LlamaIndex or equivalent frameworks, PostgreSQL/pgvector, Qdrant, Pinecone, Weaviate or similar technologies
- will be advantageous.
- Candidates are not expected to have worked with every technology listed above. We are more interested in strong fundamentals, demonstrated engineering ability and the ability to select appropriate technologies for a problem.
- Enterprise
- in one or more of the following will be advantageous:
- Government or public-sector systems
- Enterprise ERP/workflow systems
- Microsoft technology environments
- Document and records-management systems
- Business-process automation
- Data analytics
- Regulatory systems
- Financial/payment systems
- On-premise or hybrid enterprise deployments
- Qualifications
- Bachelor’s degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence or a related technical field.
- Strong professional software-development or data-engineering experience.
- 5+ years of professional software-engineering experience, including demonstrable
- building AI/ML applications.
- mentoring or leading engineering teams, with the ability to guide technical direction and grow junior engineers.
- Relevant Microsoft, Azure, AI or cloud certifications will be an added advantage but are not mandatory.
- What We Will Assess
- Shortlisted candidates should expect a
- practical AI engineering assessment and technical presentation
- .
- Green com values demonstrated ability above knowledge of AI terminology. Candidates should be prepared to explain and defend the architecture, security, scalability and technical decisions behind solutions they have built.
- The Person We Are Looking For
- We are particularly interested in someone who:
- Enjoys building, not merely managing.
- Can move comfortably from experimentation to production engineering.
- Understands that enterprise AI requires security, governance and reliability.
- Can explain complex AI concepts to non-technical stakeholders.
- Can mentor other engineers.
- Is curious and continuously experiments with emerging technologies.
- Can challenge inappropriate uses of AI rather than applying AI to every problem.
- Wants to help build an AI engineering capability from the ground up.
- Check how your CV aligns with this job
- Method of Application
- Interested and qualified candidates should forward their CV to:
- careers@greencom.co.ke
- using the position as subject of email.
- Build your CV for free.
- Download in different templates.
Requirements
- into production-ready AI systems.
- Key
Responsibilities
- The successful candidate will:
- Lead the technical establishment of Green Com’s AI capability.
- Design and develop production-grade AI and machine-learning solutions.
- Build applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), embeddings and vector databases.
- Design AI solutions for document processing, knowledge management, analytics, workflow automation and enterprise systems.
- Integrate AI capabilities with existing enterprise applications, APIs, databases and identity-management systems.
- Design secure AI architectures for cloud, hybrid and on-premise environments.
- Establish standards for AI security, model evaluation, testing, monitoring and responsible AI.
- Evaluate commercial and open-source AI models and recommend appropriate technologies for different use cases.
- Develop AI proof-of-concepts and convert successful prototypes into production solutions.
- Mentor Green com software developers and help develop internal AI engineering capability.
- Participate in technical presentations, demonstrations, proposals and AI consultancy engagements.
- Contribute technical input to AI tenders and proposals.
- Research emerging AI technologies and advise management on commercially relevant opportunities.
- Technical Competencies
- Candidates should demonstrate strong practical knowledge of:
- Python and modern software-engineering practices
- Machine learning and deep-learning fundamentals
- Large Language Models
- Retrieval-Augmented Generation (RAG)
- Prompt and context engineering
- Embeddings and vector search
- AI agents and tool/function calling
- Model and RAG evaluation
- REST APIs and enterprise application integration
- SQL and data engineering
- Docker/containerization
- Git and CI/CD
- Cloud AI platforms, preferably Microsoft Azure
- Authentication, authorization and enterprise security principles
- AI privacy, security, guardrails and responsible AI
- Classical machine-learning techniques (e.g. gradient boosting, classification/regression), not only deep learning and LLMs
- Evaluation and observability tooling for AI systems (e.g. RAGAS, LangSmith, Azure AI Foundry evaluation)
- Data engineering practices, including ETL/pipelines and data validation
- AI-specific security practices, including prompt-injection defense, PII redaction, output filtering and audit logging
Source and provenanceSource: MyJobMag Kenya. Last checked: 2026-08-21.Kazi Connect is a job discovery service, not the employer. Always confirm the vacancy at the original source.Summaries may be AI-assisted. Report inaccurate content.
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