CareerAddict

Solution Architect - Generative AI

iBSC

Posted on Jun 10, 2026 by iBSC
London, United Kingdom
IT
Immediate Start
Annual Salary
Contract/Project

Solution Architect - Generative AI

My client, a large consultancy, is in need of a Solution Architect - Generative AI for a 6 month vontract based in London offering 2 days per week remote but requiring 3 days per week on-site.

The ideal candidate will have strong experience in Generative AI (LLMs, RAG, embeddings, OpenAI/Gemini/Bedrock/Open Source Models), Prompt Engineering (prompt design, optimisation, few-shot/zero-shot techniques), AI Guardrails (safety, compliance, bias control, content filtering, monitoring), Hands-on experience with LLMs and Generative AI frameworks (Azure OpenAI, LangChain, etc.), Understanding of RAG architectures, vector databases, embeddings, and AI pipelines, Knowledge of AI governance, risk management, and compliance frameworks, Familiarity with AWS platform on implementing AI ML or Generative AI solutions, Exposure to LLMOps/MLOps practices, including model deployment, monitoring, and life cycle management, Banking Domain Knowledge.


Reference: 3120543662

https://jobs.careeraddict.com/post/113388374
iBSC

Solution Architect - Generative AI

iBSC

Posted on Jun 10, 2026 by iBSC

Print
London, United Kingdom
IT
Immediate Start
Annual Salary
Contract/Project

Solution Architect - Generative AI

My client, a large consultancy, is in need of a Solution Architect - Generative AI for a 6 month vontract based in London offering 2 days per week remote but requiring 3 days per week on-site.

The ideal candidate will have strong experience in Generative AI (LLMs, RAG, embeddings, OpenAI/Gemini/Bedrock/Open Source Models), Prompt Engineering (prompt design, optimisation, few-shot/zero-shot techniques), AI Guardrails (safety, compliance, bias control, content filtering, monitoring), Hands-on experience with LLMs and Generative AI frameworks (Azure OpenAI, LangChain, etc.), Understanding of RAG architectures, vector databases, embeddings, and AI pipelines, Knowledge of AI governance, risk management, and compliance frameworks, Familiarity with AWS platform on implementing AI ML or Generative AI solutions, Exposure to LLMOps/MLOps practices, including model deployment, monitoring, and life cycle management, Banking Domain Knowledge.

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Reference: 3120543662

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