Global AI/ML Engineer Manager

Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We are dedicated to building AI-driven solutions that redefine our products, processes, and technology to deliver exceptional value, service, and flexibility to our consultants. Agile methodologies are central to this approach, and we seek leaders who are passionate about fostering this mindset across teams and business operations. You will act as a "player-coach," directly contributing to squad work while cultivating engineering talent. By integrating solution architecture expertise with a focus on talent development, you will lead the creation and delivery of impactful GenAI products, enabling transformative outcomes for our business and customers.   Lead by example as a "player-coach": directly contributing to code and architecture, while growing engineering talent and setting best practices. Hands-on in backend development – leading complex problem-solving in Python (especially FastAPI). Architect and support secure, scalable, and stable APIs and services that integrate with LLMs and modern cloud platforms (AWS). Promote DevOps practices, CI/CD pipelines, and automated quality assurance. Leverage AI/agentic engineering tools for rapid development, with code-quality top of mind.   Drive adoption and experimentation with large language models (LLMs), working closely with product and research teams. Prioritize efficiencies by using AI engineering tools within your 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.   Enjoying coaching and developing people to improve their personal performance, knowledge, and expertise. Thinking in systems and balancing tech trade-offs for long-term scalability. Driving quality, performance, and security in everything you build. Both planning and design along with execution and support. Data-driven decision making, both in day-to-day management and in making strategic trade-offs. 7+ years of hands-on software engineering experience with strong backend/API expertise using Python (FastAPI or Flask). ~1+ years of hands-on experience with LLMs: building RAG solutions, agentic workflows, integrating LLMs (e.g., into products, building and integrating Model Context Protocol (MCP) servers, and authoring Claude Skills to extend agent capabilities, etc. ~ Experience in cloud-native development (AWS), with infrastructure and DevOps principles. ~ Deep understanding of software design principles, with a track record of building resilient, maintainable, and scalable systems. ~ Experience working in high-paced Agile, product-oriented environments, with a focus on continuous delivery and cross-functional collaboration. ~ Excellent communication and stakeholder management skills; Product Owners and Team Dev Leads: To prioritize backlog, align resources, and define architectural strategy for AI-powered products. Agile Coaches and Scrum Masters: To embed agile principles into day-to-day practices and strengthen ways of working across squads. Where you will act as both a leader and contributor, helping drive delivery and support collaboration between engineering, design, and product. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.