AI Solution Architect - Senior Manager/Associate Director Capital Markets

Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments.

This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment.

You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes., ·Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs ·Designing and implementing end to end AI and ML architectures across enterprise environments ·Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments ·Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation ·Evaluating and selecting technologies across open source and commercial platforms ·Designing and integrating AI solutions into existing enterprise systems and applications ·Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives ·Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle ·Supporting architecture governance, technical review boards and design authorities ·Building relationships with technical and business stakeholders across large scale transformation programmes ·Producing solution design documentation, implementation plans and technical proposals ·Providing technical leadership and mentoring within multidisciplinary teams

·Experience designing AI, ML or modern data architectures within enterprise environments ·Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies ·Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments ·Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns ·Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies ·Understanding of MLOps, LLMOps and model lifecycle management principles ·Experience designing APIs and integrating AI solutions into enterprise environments ·Strong understanding of modern data architectures and platform design principles ·Experience presenting architectural designs to technical and business stakeholders ·Financial services experience within capital markets or broader banking environments

This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments.

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