Senior AI Engineer / AI Technical Lead at Green Com Enterprise Solutions Ltd in Nairobi, Kenya

    Green Com Enterprise Solutions Ltd logo

    Senior AI Engineer / AI Technical Lead

    Green Com Enterprise Solutions LtdNairobi, Kenya

    Posted

    5 days ago

    Apply by

    31 Aug

    Full Time
    On Site
    Senior
    ICT & Telecommunications
    IT & Software

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    Job Description

    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 requirements into production-ready AI systems.

    Key Responsibilities

    • 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.

    Required 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 experience building AI/ML applications.
    • Experience 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.

    Job Details

    Job Function

    IT & Software

    Minimum Experience

    5 years

    Education Level

    Bachelor’s Degree

    Area of Study

    Computer Science

    Field of Study

    Computer Science

    Languages

    English

    Additional Information

    How to Apply: Send your CV to careers@greencom.co.ke using the position as subject of email.

    Show Your AI Engineering Depth, Not Just Your Vocabulary

    This role is for a hands-on builder who can architect, code, and deploy AI solutions. The hiring team will probe your practical experience with LLMs, RAG, and enterprise integration, so be ready to defend your technical decisions.

    1. Build a portfolio of AI projects: Showcase 2-3 projects where you've built and deployed AI applications, especially using LLMs and RAG. Include code samples, architecture diagrams, and measurable outcomes. For example, a document Q&A system using Azure OpenAI and pgvector.

    2. Master the fundamentals: Be prepared to explain machine learning concepts, model evaluation metrics, and data engineering practices. Understand the trade-offs between different models and architectures.

    3. Demonstrate enterprise awareness: Highlight experience with security, governance, and compliance in AI systems. Discuss how you handle PII, prompt injection, and audit logging.

    4. Prepare for a practical assessment: Expect a hands-on coding or design exercise. Practice building a simple RAG pipeline or fine-tuning a model. Be ready to explain your approach and decisions.

    5. Show leadership and mentoring: Provide examples of how you've guided junior engineers or led technical direction. Emphasize your ability to communicate complex ideas to non-technical stakeholders.

    6. Know the Azure ecosystem: Familiarize yourself with Azure AI services, Azure OpenAI, and Azure AI Foundry. Be ready to discuss how you'd deploy and monitor AI solutions on Azure.

    7. Be ready to discuss responsible AI: Understand the principles of responsible AI and how you've applied them in past projects. Discuss how you evaluate models for bias and fairness.

    8. Show curiosity and adaptability: Highlight your willingness to learn new technologies and your ability to challenge inappropriate uses of AI. Demonstrate that you're not just applying AI for the sake of it.

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    Tags

    AI
    Machine Learning
    LLM
    RAG
    Python