Expert Senior Manager, Engineering Excellence

WHO YOU'LL WORK WITH

Bain’s Vector leads the firm’s software development efforts and defines engineering standards for Bain globally.

• Drive client improvements in AI‑assisted or AI‑led maturity across people, process, and technology.
• Mentor and coach developers to improve productivity through adoption of AI tools (Claude Code, Cursor, Codex, etc.).
• Lead in designing, developing, and documenting AI applications aligned to business outcomes.
• Develop prompt engineering strategies, implement retrieval‑augmented generation (RAG) pipelines, and optimize model inference latency and cost.
• Develop and champion modern software development best practices and concepts to technical audience and business stakeholders.
• Lead cross‑functional teams to develop and deploy production‑quality code for clients.
• Lead full software development life cycle execution including architecture design, writing documentation and unit/integration tests, identifying issues and resolution, writing clean code, conducting code reviews, and mentoring other engineers.

• Drive AI‑led or AI‑assisted transformation to improve productivity and quality across the PDLC.
• Explore new innovations in AI and software development to further improve productivity and modularity.
• Mentor and coach engineering teams on technology stack best practices and operational models to raise their software engineering capabilities.
• Lead ideation processes, alongside consulting and client colleagues, to bring innovative solutions to problems.
• Drive engagements that help to understand current state of clients’ architecture, micro‑services, build processes, and security needs.
• Lead in a collaborative manner with clients’ technical teams to define technical approaches to implementing designed solutions, including new product architecture, data flows and integration strategies, and build processes.

• Translate business requirements into technical requirements and implementation details
  • Lead development of complex systems that are extensible, easy to understand, and self‑maintaining.
  • Design integrations with third‑party systems to enable use cases that power business solutions.
• Work closely with product and design to create modern AI systems
  • Architect and design end‑to‑end AI agent systems, including reasoning loops, planning mechanisms, and tool orchestration frameworks.
  • Develop and optimize LLM‑powered applications using advanced prompting, structured outputs, and model routing strategies.
  • Design and implement multi‑agent architectures (planner, executor, verifier, critic patterns).
  • Architect and build scalable retrieval‑augmented generation (RAG) pipelines with optimized embedding and retrieval strategies.

• Bachelor’s in Computer Science or a related technical field; or equivalent work experience.
• Experience in an engineering role at a start‑up or fast‑growing tech company, with a strong track record of increasing mastery and responsibility.
• 10+ years of experience with full‑stack development.
• 6+ years of experience with micro‑service API development (e.g., RESTful, Graph
  
  QL, gRPC) with frameworks (e.g. FastAPI, Swagger, OpenAPI, etc.).
• 4+ years of experience in consulting.
• 2+ years of experience leading or managing development teams.
• 1+ years of experience with AI tools (Cursor, Claude Code, etc.).
• Strong knowledge in development best practices (automated testing frameworks, CI/CD, etc.).
• Strong computer science fundamentals in data structures, algorithms, automated testing, object‑oriented programming, performance complexity, and implications of computer architecture on software performance.
• Strong interpersonal and communication skills.
• Deep understanding of large language models (LLMs) and transformer architectures.
• Strong knowledge of prompt engineering, structured prompting, and reasoning control techniques.
• Experience designing and deploying retrieval‑augmented generation (RAG) systems.
• Ability to evaluate model performance beyond accuracy (reasoning quality, hallucination rate, task success).
• Un…