Overview
As a GenAI-focused engineering leader at BCG, you shape AI-powered products and platform capabilities. You will mentor and grow engineers while hands-on contributing to code and architecture. You’ll set standards, drive secure, scalable APIs, and refine AI-enabled architectures in collaboration with product and research teams. Expect to advance agile practices and leverage LLMs to deliver transformative outcomes for clients and the firm.
Responsibilities
- Build, coach, and mentor engineers; lead by example in code and architecture
- Champion clean architecture, maintainable code, and API quality across squads
- Hands-on backend development with Python (FastAPI/Flask)
- Architect and support secure, scalable APIs that integrate with LLMs and cloud platforms (AWS)
- Promote DevOps, CI/CD, and automated quality assurance
- Drive adoption of LLMs and AI engineering tools; work with product/research teams
- Identify system-level tradeoffs, risks, and opportunities in AI-enabled architectures
- Contribute to technical strategy, experimentation, and roadmap definition
Key requirements
- 10+ years of hands-on software engineering with strong backend/API expertise in Python (FastAPI or Flask)
- 1+ years of hands-on experience with LLMs: building RAG solutions, agentic workflows, LLM integration into products
- Experience in cloud-native development (AWS) and DevOps
- Strong systems thinking and architectural decision-making
- Proven ability to design resilient, scalable software
- Experience in Agile, product-oriented environments with cross-functional collaboration
- Excellent communication and stakeholder management skills
- Inspiring and enabling others
- Coaching and developing people
- Systems thinking and long-term scalability mindset
- Python (FastAPI or Flask)
- LLM integration and RAG
- Agentic workflows and MCP servers
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