AI Engineering Development Lead

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AI Engineering -Development Lead
Role Overview
We are looking for an AI Engineering Development Lead to lead the design and development of AI-powered applications, intelligent agents, and enterprise AI solutions. The role combines strong hands-on expertise in Generative AI, Agentic AI, CrewAI, LangChain and Solution Architecture with a working understanding of AI Governance, Risk and Compliance (GRC).
The ideal candidate will be able to translate business and security requirements into scalable AI solutions while ensuring that AI systems are designed with appropriate governance, risk, security and compliance considerations.

Key Responsibilities
AI Engineering & Development

• Lead the architecture, development and deployment of Generative AI and Agentic AI applications.
• Design and build multi-agent workflows and intelligent AI solutions using CrewAI, LangChain/LangGraph and related frameworks.
• Develop LLM-powered applications including RAG pipelines, AI agents, tool/function calling, orchestration and workflow automation.
• Evaluate and integrate LLMs, embedding models, vector databases and AI/ML services based on business requirements.
• Establish development standards, reusable frameworks and best practices for AI application development.
• Lead technical design, code reviews, performance optimisation and troubleshooting across AI engineering initiatives.
• Work closely with engineering, product, cybersecurity and business teams to take AI solutions from concept through production.

Solution Architecture

• Own the end-to-end solution architecture for enterprise AI and Agentic AI platforms.
• Translate functional, technical, security and compliance requirements into scalable and maintainable architectures.
• Design solutions covering LLM orchestration, APIs, microservices, data pipelines, vector databases, cloud infrastructure and AI application layers.
• Evaluate build-vs-buy decisions and recommend appropriate AI platforms, models, frameworks and technologies.
• Ensure solutions are designed for scalability, reliability, observability, security and cost optimisation.
• Provide technical leadership and architectural guidance to development teams.

AI Governance, Risk & Compliance

• Incorporate AI Governance, Risk and Compliance principles into the design and development lifecycle.
• Apply working knowledge of ISO/IEC 42001 and the NIST AI Risk Management Framework (AI RMF) to AI solution architecture and development.
• Support AI risk assessments, AI impact assessments, governance controls and responsible AI practices.
• Identify and address risks related to LLM security, prompt injection, data leakage, hallucinations, model misuse, bias, explainability, privacy and third-party AI dependencies.
• Work with GRC, cybersecurity and compliance teams to translate regulatory and governance requirements into practical technical controls.
• Support development of documentation covering AI system purpose, risks, controls, data flows, model usage and governance requirements.
• Ensure AI solutions maintain appropriate traceability, monitoring, auditability and human oversight.

Technical Leadership

• Lead and mentor AI engineers and developers, providing technical direction and best practices.
• Define development methodologies, coding standards and architecture principles for AI engineering.
• Stay current with emerging developments across GenAI, Agentic AI, LLMs, AI security, AI governance and AI engineering frameworks.
• Conduct technical evaluations and proof-of-concepts for new AI technologies and frameworks.
• Collaborate with senior stakeholders to communicate complex AI architecture and risk considerations in a clear and practical manner.

Required Technical Skills

• Strong hands-on experience in Generative AI / LLM application development.
• Strong experience with CrewAI and LangChain/LangGraph.
• Experience building **AI agents, multi-agent systems and agentic workflow…