Engineering Lead – Python & AI

Python Engineering Lead – AI & Intelligent Systems

Location: London (Hybrid)

The Opportunity

We are seeking an experienced Engineering Lead to help shape and deliver the next generation of AI‑enabled products and platforms within a highly complex, data‑rich environment.
This role sits within a growing innovation‑focused engineering team responsible for building intelligent systems that improve business processes, automate knowledge work, and unlock new opportunities through applied AI.
You’ll play a key role in defining technical direction, establishing engineering best practices, and leading the design and delivery of production‑grade AI solutions.

What You’ll Be Doing

• Lead the design and development of AI‑powered products and internal platforms.
• Translate business challenges into scalable technical solutions.
• Design and implement production‑ready AI applications and intelligent workflows.
• Drive architecture decisions across cloud‑native platforms and services.
• Establish engineering standards, governance, and best practices.
• Partner with stakeholders across multiple business functions to identify opportunities for automation and innovation.
• Guide and mentor engineers, consultants, and technical contributors.
• Support the responsible adoption of AI technologies within a regulated environment.
• Evaluate emerging technologies and identify opportunities to improve delivery velocity and product capability.

The role is approximately

• 50% hands‑on engineering
• 50% architecture, technical leadership, stakeholder engagement, and solution design

Technology Environment

• Python
• OpenAI and LLM technologies
• Cloud‑native platforms
• Serverless architectures
• Vector databases
• Knowledge repositories
• Modern data engineering tooling
• AI‑enabled development tools and workflows

What We’re Looking For

Essential Experience

• Strong software engineering background with advanced Python development skills.
• Experience designing and delivering cloud‑native applications.
• Experience building and deploying AI‑enabled products into production environments.
• Strong understanding of software architecture and distributed systems.
• Experience working with APIs, data pipelines, and modern engineering practices.
• Ability to communicate effectively with both technical and non‑technical stakeholders.
• Strong problem‑solving and systems‑thinking capabilities.

Highly Desirable

• Experience working with OpenAI APIs and LLM‑based applications.
• Experience with Retrieval‑Augmented Generation (RAG) architectures.
• Understanding of AI agents and agentic workflows.
• Experience building knowledge management or search platforms.
• Experience with vector databases and semantic search technologies.
• Exposure to data engineering and machine learning workflows.
• Experience taking AI solutions from proof‑of‑concept through to production adoption.

Equal Opportunity Statement

We believe in equal opportunity for all and actively encourage applications from diverse backgrounds, experiences, and perspectives.

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