Ai Architect (SRK20ST RM 4395)

Source-Right; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Source-Right in Greater London is seeking an Ai Architect to design and deliver AI-enabled features and agent-driven workflows in a hybrid work setup. The role requires hands-on Python development, experience with LLM APIs, and building production AI systems.

You will collaborate across teams, apply DevOps, and ensure quality and security in deployments. The candidate should have exposure to cloud AI platforms (AWS Bedrock/Azure Foundry) and familiarity with guardrails, evals, and RAG workflows.

Qualifications

• Transitioned from traditional software engineering to AI-first environments.
• Experience with cloud AI platforms (AWS Bedrock, Azure Foundry or similar).
• Knowledge of interoperability standards (A2A, MCP).
• Experience with Docker, Kubernetes and modern DevOps tooling.
• Wealth management experience is a must have.

Responsibilities

• Design, develop, and deliver AI-enabled features and agent-driven workflows.
• Build resilient production systems leveraging cloud-native AI services and LLM APIs.
• Implement agent-based architectures with reasoning loops, guardrails, and observability.
• Collaborate across teams using agile and DevOps principles.
• Champion shift-left testing for AI solutions and ensure reliability.
• Monitor AI system behaviour and communicate risks and performance.

Skills

Python-first development

Production systems with LLM APIs

Agent-based AI systems

Eval design for model quality

Cloud managed AI services

RAG workflows & embeddings

Guardrails & reliability

Tools

Docker

Kubernetes

OpenAI API

DevOps tooling

Job description

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.

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.

Experience And Qualifications

• You must have 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