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Global IT Senior Director and Platform Team Lead - Gen AI Platforms and Agentic Development Kit

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Boston Consulting Group (BCG)
Full Time position
Listed on 2026-09-11
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Architect
Salary/Wage Range or Industry Benchmark: 100000 - 140000 GBP Yearly GBP 100000.00 140000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

What You'll Do

BCG is building the next generation of AI‑native platforms, enabling advanced reasoning systems, autonomous agents, and enterprise‑scale GenAI capabilities. As a Platform Team Lead (PTL) Gen AI Platforms and Agent Development Kit, you will play a defining role in shaping the core intelligence layer that powers BCG AI solutions globally.

This is a rare opportunity to lead at the forefront of AI platform engineering — architecting the systems, tools, and frameworks that hundreds of teams will rely on to innovate, scale, and deliver impact. You will set the strategy, lead high‑performing engineering and platform squads, and bring to life a world‑class AI platform that champions safety, performance, scale and responsible innovation/RAI.

As a PTL, you will drive innovation, collaborate across global teams, and shape the roadmaps that keep BCG at the absolute forefront of AI platforms, capabilities and best practices of building AI/ Agentic solutions at scale.

Responsibilities Lead the Strategy and Execution for BCG’s Core AI/Intelligence Layer
  • Own and evolve the Gen (AI) platform vision and agentic systems, including LLM orchestration, contextual memory, and semantic knowledge layers.
  • Shape the roadmap for the Platform AI/Agent Development Kit (ADK) — the core toolset powering developer and team adoption across BCG.
  • Lead Gen (AI) platform engineering teams and operating model.
  • Scale GenAI capabilities firm wide, across Core IT and business use cases.
Architecting Scalable, AI‑Native Systems
  • Design scalable, secure, AI first, cloud‑native platform components that support advanced reasoning, long‑term memory, and multimodal insights by leveraging BCG’s cloud/hyper‑slicer & vendor partnerships (AWS, GCP and Azure).
  • Define AI solution archetypes for use cases teams to effectively use the platform capabilities with well defined, reusable accelerators, SDK and tool kits.
  • Govern platform‑wide design decisions to ensure safety, scalability, interoperability and implementation of responsible AI standards.
  • Own cross‑functional alignment with Data, Security, Capabilities Build, Infrastructure, and business stakeholders.
Build and Lead High‑Performing Teams
  • Lead engineering, architecture, and platform teams with a culture of excellence, innovation, and accountability.
  • Coach and mentor senior talent; champion strong engineering practices and high‑quality delivery.
Delivery & Operational Excellence
  • Own end‑to‑end delivery of capabilities & components and services owned by the platform teams.
  • Establish and run enterprise‑grade AI observability frameworks to monitor performance, safety, and interpretability.
  • Continuously enhance LLM Ops, Evaluation and Quality pipelines.
  • Ensure robust AIOps/Dev Sec Ops , CI/CD, Infrastructure‑as‑Code, and automated delivery pipelines.
What You’ll Bring Leadership & Delivery
  • Over 15 years of experience in engineering leadership, platform or product ownership, or technical programme delivery in large enterprise.
  • At least 5 years in AI and Gen AI related experience.
  • 3+ years as Senior Director or Equivalent in software/AI engineering or equivalent.
  • Demonstrated success leading multi‑disciplinary teams (engineering, product, architecture, data).
  • Evidence of innovation in building/ope rationalising AI / GenAI or emerging technology platforms.
Technical Expertise
  • Masters or Bachelor’s in AI/ Computer Science & Engineering or equivalent work experience.
  • Proven success in architecting enterprise‑scale AI platforms using modern AI native/ cloud native stacks.
  • Deep experience architecting, applying and deploying LLM‑based systems, generative models, agent frameworks, and scalable AI/ML platforms.
  • Mastery of enterprise cloud stacks (AWS/GCP/Azure), vector DBs, Knowledge Graphs, contextual…
Position Requirements
10+ Years work experience
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