The Expert Senior Manager, AI Engineering will lead the architecture, development, and scaling of generative AI systems for Bain's clients. This role is situated within the AI, Insights & Solutions team, which focuses on leveraging advanced engineering and applied AI research to deliver innovative solutions. The position requires collaboration with various stakeholders, including engineering, product, and data science teams, to ensure the successful deployment of AI systems. The manager will also mentor technical teams and guide the integration of responsible AI practices.

• 8–12+ years in software engineering, ML engineering, or applied AI roles with significant hands-on building responsibilities.
• Demonstrated experience leading complex, multi-stack generative AI programs from conception through production.
• Strong executive communication skills with the ability to translate highly technical concepts to business stakeholders.
• Track record of leading engineering teams, mentoring technical talent, and collaborating with diverse cross-functional groups.
• Deep experience with advanced RAG architectures and agentic architectures.

• Design, build, and deploy end-to-end generative AI systems, including multi-agent workflows and production-grade AI applications.
• Architect multi-component pipelines and integrate reasoning, tool use, function calling, and orchestration across complex workflows.
• Lead everything from early-stage research, model experimentation, and evaluation design to production system deployment.
• Oversee API development, microservices, CI/CD pipelines, observability, and cloud-native deployment.
• Act as a thought partner to executives and clients on AI strategy, architecture decisions, emerging capabilities, and implementation roadmaps.

• 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.