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Boston Consulting Group

Global strategy and transformation consulting firm

Global AI/ML Engineer Manager

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listedIn-person

About the Job

Requirements

  • At least 7 years of hands-on software engineering experience with strong backend and API expertise using Python, FastAPI, or Flask.
  • At least 1 year of hands-on experience with large language models, including building retrieval-augmented generation solutions and agentic workflows; integrating LLMs such as OpenAI, Gemini, and Anthropic into products; building and integrating Model Context Protocol servers; and authoring Claude Skills to extend agent capabilities.
  • Experience in cloud-native development on AWS, including infrastructure and DevOps principles.
  • Strong systems thinking, architectural decision-making, and technical judgment.
  • Deep understanding of software design principles and a track record of building resilient, maintainable, and scalable systems.
  • Experience working in fast-paced Agile, product-oriented environments, with a focus on continuous delivery and cross-functional collaboration.
  • Excellent communication and stakeholder management skills, with the ability to influence across functions and seniority levels.

Responsibilities

  • Build, coach, and mentor engineers.
  • Contribute directly to code and architecture while growing engineering talent and setting best practices.
  • Foster a culture of learning, experimentation, and curiosity.
  • Champion engineering excellence, clean architecture, and maintainable code across squads.
  • Lead complex backend problem-solving in Python, especially FastAPI.
  • Architect and support secure, scalable, and stable APIs and services that integrate with LLMs and modern cloud platforms such as AWS.
  • Promote DevOps practices, continuous integration and continuous delivery pipelines, and automated quality assurance.
  • Leverage AI and agentic engineering tools for rapid development while maintaining code quality.
  • Drive adoption and experimentation with LLMs in close collaboration with product and research teams.
  • Prioritize efficiencies by using AI engineering tools within the team.
  • Identify and articulate system-level tradeoffs, risks, and opportunities in AI-enabled architectures.
  • Stay current with AI and software engineering trends, contributing to technical strategy, experimentation, and roadmap definition.
  • Work with Product Owners and Team Dev Leads to prioritize backlog, align resources, and define architectural strategy for AI-powered products.
  • Work with Chapter Leads and Engineering Peers to ensure consistency in technical approaches, exchange best practices, and promote cross-chapter collaboration.
  • Work with Agile Coaches and Scrum Masters to embed agile principles into day-to-day practices and strengthen ways of working across squads.
  • Contribute as both a leader and an individual contributor within the squad and cross-functional teams, helping drive delivery and collaboration between engineering, design, and product.

About the Company

Boston Consulting Group

Global strategy and transformation consulting firm

BCG provides global management consulting, advising leaders in strategy and transformation across industries, with expertise in M&A, operations, pricing, sustainability, and AI. BCG X builds AI solutions, digital products, and new ventures by combining engineers, data scientists, designers, and venture builders for clients. Specialist units Inverto, Platinion, and Quantis support procurement, IT architecture, and sustainability, while the BCG Henderson Institute supplies research. The goal is to help clients achieve lasting performance improvements and durable value through strategic advisory plus hands-on technology execution.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1963

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