Generative AI Leader / Lead Generative AI Engineer / AI Architect / Generative AI Lead / Gen AI Lead / AI Architect Location: South West, UK (Hybrid Working) Salary: Up to £150,000 package Company: Hiring on behalf of a client via 167 Solutions Ltd 167 Solutions Ltd is partnering with an innovative organisation in the South West to appoint a Generative AI Leader. This is a senior, high-impact role for a visionary who can operate both as a trusted advisor to executive stakeholders and as a hands-on technical leader driving delivery of enterprise-grade AI solutions. The Opportunity You will define and lead the organisations Generative AI strategy, translating cutting-edge capabilities into real business value. The role requires a rare blend of commercial advisory expertise, architectural oversight, and technical delivery leadership across large-scale AI programmes. Key Responsibilities Define and execute the enterprise Generative AI strategy aligned to business objectives Advise C-suite and senior stakeholders on AI adoption, governance, risk, and value realisation Lead the design, architecture, and delivery of GenAI solutions from concept to production Establish AI operating models, best practices, and responsible AI frameworks Build and lead high-performing multidisciplinary teams (Data Science, ML Engineering, MLOps) Identify use cases across functions (customer experience, operations, knowledge management, automation) Ensure scalability, security, and compliance of AI platforms Required Experience Proven leadership delivering Generative AI programmes at enterprise scale Strong advisory background engaging senior business leaders Deep technical expertise across modern AI/ML ecosystems Track record of translating emerging technologies into measurable outcomes Technical Expertise Generative AI & LLMs Large Language Models (GPT, Claude, Llama, Mistral or similar) Prompt engineering, fine-tuning, RAG (Retrieval Augmented Generation) Multimodal AI (text, image, audio, video) Agentic frameworks and orchestration AI/ML Engineering Python, PyTorch, TensorFlow, JAX NLP, deep learning, model optimisation Evaluation frameworks and guardrails Data & Platforms Vector databases (Pinecone, Weaviate, FAISS, Milvus) Knowledge graphs and semantic search Data engineering pipelines MLOps & Deployment CI/CD for ML, model monitoring, versioning Kubernetes, Docker, serverless architectures MLflow, Kubeflow, SageMaker or similar Cloud & Architecture Azure AI, AWS AI/Bedrock, Google Vertex AI API-led architectures and microservices Security, governance, and responsible AI Frameworks & Tooling LangChain, LlamaIndex, Semantic Kernel or equivalent Integration with enterprise systems (CRM, ERP, collaboration platforms) Desirable Experience in regulated environments AI ethics, governance, and compliance knowledge Background in consulting or digital transformation Why Apply This is a rare opportunity to shape AI strategy at scale while remaining close to delivery. You will influence how an organisation embeds Generative AI into its core operations and future growth.