AI Technical Lead

Role Summary This role is for an experienced AI Technical Lead. The role requires experience designing, developing, and delivering AI solutions for large-scale organisations. We are seeking a hands-on technical leader with strong AI engineering capabilities to lead proof-of-concept development and production implementation while providing technical leadership across the delivery lifecycle. Responsibilities - Lead the design, development, testing, and deployment of secure, scalable, and reusable AI solutions using approved enterprise platforms and technologies. - Build and integrate LLM, RAG, and multi-agent solutions using frameworks such as Semantic Kernel, LangChain, or similar. - Develop and maintain AI-powered applications, APIs, and backend services. - Lead the development of proof-of-concepts and pilot solutions, validating technical feasibility and supporting the transition into production solutions. - Work with Business Analysts, SMEs, and stakeholders to translate business requirements into production-ready AI solutions that deliver measurable business value. - Collaborate with architects, data engineers, product owners, and QA teams to deliver end-to-end AI solutions. - Provide technical leadership, mentoring, code reviews, and guidance to development teams. - Assess technical feasibility, integration requirements, data readiness, and solution constraints when defining AI solutions. - Apply engineering best practices for AI deployment, monitoring, optimisation, security, and lifecycle management. - Ensure AI solutions comply with architecture, security, DevSecOps, Responsible AI, and regulatory standards. - Maintain technical documentation and support knowledge sharing across delivery teams. Essential Experience - 8+ years' experience in the application development lifecycle. - Experience leading development teams and providing technical leadership. - Proven experience designing and delivering enterprise-scale solutions. - Strong hands-on experience developing AI-powered applications and services. - Experience in backend development for AI applications and orchestration of LLMs or multi-agent systems. - Experience with Azure OpenAI, Azure AI Foundry, AWS Bedrock, Vertex AI, or similar AI platforms. - Experience in prompt engineering and working with multiple AI models. - Experience developing proof-of-concepts and successfully scaling them into production solutions. - Proficiency in Python and modern AI development frameworks. - Experience working with cloud platforms such as Azure, AWS, or GCP. - Experience integrating enterprise systems through APIs, services, and data platforms. - Strong and effective communication skills with experience engaging directly with business stakeholders. Desirable Experience - Experience with Semantic Kernel, LangChain, LangGraph, AutoGen, CrewAI, or similar frameworks. - Experience with vector databases, RAG architectures, and enterprise search solutions. - Experience with MLOps, CI/CD, DevSecOps, and model lifecycle management. - Understanding of data governance, Responsible AI, GDPR, and AI regulatory requirements. - Experience working in regulated or complex enterprise environments. - Familiarity with Agile methodologies, Scrum practices, and application lifecycle management.