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Expert Senior Manager, Engineering Excellence

Remote / Online - Candidates ideally in
Atlanta, Fulton County, Georgia, 30383, USA
Listing for: Tech Economy
Part Time, Remote/Work from Home position
Listed on 2026-05-06
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Engineer, Full Stack Developer
Salary/Wage Range or Industry Benchmark: 258425 - 293500 USD Yearly USD 258425.00 293500.00 YEAR
Job Description & How to Apply Below

What You’ll Do

  • 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 audiences 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.
Scope, Architect, Design, Develop, Build, and Release
  • 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.
About You
  • 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 (RESTful, Graph

    QL, gRPC) with frameworks such as FastAPI, Swagger, OpenAPI, etc.
  • 4+ years of experience in consulting.
  • 2+ years of experience leading or managing development teams.
  • 1+ year 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 the 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).
  • Understanding of tokenization, context window limits, and cost‑optimization strategies.
  • Strong Python proficiency for AI development.
Ideal Candidates Will Also Have Experience In
  • Master’s in computer science or a related technical field.
  • Experience working with or providing services to enterprise customers (Fortune 500, Global 1000).
  • Experience working on public cloud environments (AWS, GCP, or Azure) and associated deep understanding of failover, high‑availability, and high‑scalability.
  • Ability to explain and discuss technical concepts and methodologies with colleagues and clients from other disciplines.
  • Hybrid work model: in‑office presence at least 3 days per week, either at a client location or at Bain’s home office.
  • Travel required (≈25%).
Compensation & Benefits

Compensation for this role includes base salary, annual discretionary performance bonus, 401(k) plan with employer contribution, and Bain’s best‑in‑class benefits. The estimated annualized full‑time salary ranges are:

  • Atlanta, Boston, Texas, and Chicago: $258,425.
  • California, New York, Washington DC, and Washington State: $293,500.

Benefits include fully premium‑covered medical, dental, and vision plans; generous paid time off, parental leave, sick leave, paid holidays; 100% vested 401(k) company contribution (4.5%, increasing after 3 years of service); paid life and long‑term disability insurance; and annual fitness reimbursements.

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Position Requirements
10+ Years work experience
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