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,…