Source-Right
Ai Architect (SRK20ST RM 4395)
London
Posted about 20 hours ago
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Position: Ai Architect (SRK20ST RM 4395)
Sponsorship is not provided. Hybrid mode
Requirements
- Design, develop, and deliver AI-enabled features and agent-driven workflows that solve real business challenges.
- Build resilient production systems leveraging cloud-native AI services, agent frameworks, and LLM APIs (e.g., OpenAI, Anthropic).
- Implement agent-based architectures encompassing reasoning loops, guardrails, observability, and operational controls.
- Collaborate closely across teams to gather requirements and iterate quickly, employing agile and DevOps principles.
- Champion quality and security with a “shift-left” testing mindset, ensuring compliance and reliability in AI solutions.
- Monitor AI system behaviour post-deployment, clearly communicating limitations, risks, and performance.
- Use AI-assisted coding tools to boost developer productivity and code quality within the team.
- Engage in continuous improvement through code reviews, evaluation design, and metrics-driven iteration.
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Skills You Need
- Strong software engineering background, with Python‑first development experience.
- Proven experience building production systems that integrate with LLM API services e.g. OpenAI API services.
- Hands‑on experience with agentic or tool‑using AI systems, including orchestration, memory, and toolchains.
- Experience designing and using evals to measure model quality, reliability, safety, and regression.
- Comfort working with cloud managed AI services and modern agent frameworks.
- Familiarity with RAG workflows, vector stores, embedding design, and latency/cost trade‑offs.
- Experience thinking about (and engineering for) failure modes, guardrails, operational reliability, and user impact.
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Experience And Qualifications
- Experience the transitioning from traditional software engineering to AI-first environments.
- Exposure to AWS Bedrock, Azure Foundry, or similar cloud AI agent platforms.
- Knowledge of interoperability standards (A2A, MCP).
- Experience with containerisation (Docker, Kubernetes) and modern DevOps tooling.
- Active contributor to engineering communities, continuous learning, and knowledge sharing.
- Wealth management experience is a must have
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