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.
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