GenAI Solution Architect - London and remote - 10-11 months+
GenAI Solution Architect - London and remote - 10-11 months+/RATE: £437.5 per day inside IR35
One of our Blue Chip Clients is urgently looking for a GenAI Solution Architect.
For this role you will need to be onsite in London 2-3 days per week.
Please find some details below:
CONTRACTOR MUST BE ELIGIBLE FOR BPSS
MUST BE PAYE THROUGH UMBRELLA
Role Description:
The GenAI Solution Architect will lead the design, development, and delivery of enterprise grade Generative AI solutions across business functions. This role requires deep expertise in AI/ML architecture, LLMs, vector databases, prompt engineering, cloud-native platforms, and responsible AI governance. The architect will partner with product, data, engineering, and business stakeholders to translate use cases into scalable, secure, and production-ready AI solutions.
Key Responsibilities
Solution Architecture & Design
Define end to end GenAI solution architectures using LLMs, multimodal models, embeddings, prompt orchestration frameworks, and retrieval augmented generation (RAG).
Architect scalable GenAI pipelines on cloud platforms (AWS/Azure/GCP), covering inference, fine tuning, model hosting, and MLOps.
Design vector search systems using vector databases (Pinecone, FAISS, Chroma, Weaviate).
Develop reusable architectural patterns, reference designs, and blueprints for GenAI adoption.
Technical Leadership
Evaluate and recommend appropriate LLM models (OpenAI, Anthropic, Meta Llama, Gemini, Mistral) based on use case fit.
Lead PoCs, pilots, and production rollout for AI and automation initiatives.
Oversee integration of GenAI with enterprise systems, APIs, microservices, and data platforms.
Guide engineering teams in implementing GenAI components, ensuring performance, scalability, and cost optimization.
AI Governance, Security & Compliance
Ensure compliance with responsible AI principles, data privacy, and regulatory requirements.
Establish guardrails for safe prompting, content filtering, hallucination mitigation, and model explainability.
Design secure access patterns to enterprise data for RAG and model training.
Stakeholder & Delivery Management
Translate business problems into technical solutions and articulate value proposition and ROI.
Collaborate with product owners, SMEs, data scientists, and engineering teams to define roadmaps.
Provide architectural governance, design reviews, and technical oversight across delivery life cycle.
Required Skills & Experience
10+ years in technology with 4+ years in AI/ML or architecture roles.
Strong knowledge of GenAI frameworks (LangChain, LlamaIndex, Haystack).
Hands on experience with LLM fine tuning, prompt engineering, RLHF, and RAG pipelines.
Expertise in Python, API design, cloud-native architectures, and microservices.
Experience with MLOps platforms (MLflow, Kubeflow, SageMaker, VertexAI, Azure ML).
Deep understanding of vector databases and embedding models.
Strong architectural documentation and solution design capabilities.
Preferred Qualifications
Background in enterprise architectures (TOGAF, cloud architecture certifications).
Experience in deploying GenAI workloads at scale in regulated industries (Banking/Financial Services preferred).
Knowledge of model evaluation frameworks and hallucination reduction techniques.
Experience with containerization and orchestration (Docker, Kubernetes).
Understanding of data engineering, feature stores, and data governance frameworks.
Soft Skills
Strong stakeholder engagement and ability to communicate complex concepts clearly.
Ability to lead cross-functional teams and influence technology direction.
Problem-solving mindset with focus on innovation and measurable business impact.
Please send CV for full details and immediate interviews. We are a preferred supplier to the client.