Job Specifications
CONTRACTOR MUST BE ELIGIBLE FOR BPSS
Role Title: Solution Architect
Location: London
Duration: 31/12/2026
Days on site: 2-3
Rate: 450£/day (inside IR35)
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.
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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 lifecycle.
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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.
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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.
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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.