JobsLead, AI Engineering
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Lead, AI Engineering

Bain & Company

Location

Washington DC, NY

Type

Full-time

Posted

6/11/2026

Compensation

$203,500 per year

Undergraduate with 5+ Years of Experience
Approval 95.3%·Filings 85·New hires 34·
Established Sponsor
·FY 2025

Job description

The Lead, AI Engineering role at Bain involves building GenAI and agentic AI applications for enterprise use cases. The AI, Insights & Solutions (AIS) team focuses on delivering AI-powered solutions that create measurable business impact. This position requires collaboration with multidisciplinary teams to translate business problems into robust AI applications. The role emphasizes both technical engineering and client-facing consulting skills to drive real business outcomes.

Requirements

  • 3–5+ years of professional AI / ML engineering experience with strong backend engineering fundamentals.
  • Strong proficiency in Python and experience building APIs/services.
  • Hands-on experience building LLM-powered applications with delivery considerations.
  • Experience building advanced retrieval/search systems and comfort working across multiple data stores.
  • Proven ability to implement security, privacy, and governance requirements for AI systems.

Responsibilities

  • Build AI applications that drive real business outcomes.
  • Design and develop GenAI applications using modern LLM stacks.
  • Implement agentic workflows with attention to reliability and safety.
  • Translate ambiguous client needs into clear technical requirements.
  • Write clean, testable, maintainable code and ship AI services through the full SDLC.

Benefits

  • Employees at Bain are often offered comprehensive health coverage for employees and families, including mental, emotional, and behavioral health resources, with access to counseling, coaching, fitness, and fertility support (varies by location), plus strong financial protection (life, accident, disability; some offices add critical illness), tax-efficient programs, retirement savings, and extras like travel insurance, transportation, and mobile phones. Flexible time off and accommodations include paid holidays, vacation, personal/sick time, part-time/reskilling options, multiple leave paths, and (U.S.) 21 weeks of family leave for all parents; a mentorship-driven culture provides lifecycle career support, training, tuition assistance, and connection to a 19k-member alumni network.

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