The Expert Senior Manager, AI Engineering will lead the development of generative AI systems and agentic solutions for Bain's clients. This role involves working at the intersection of engineering, applied AI research, and product strategy within the AI, Insights & Solutions team. The focus is on building integrated AI systems that drive measurable business impact while ensuring responsible AI governance. The position requires collaboration with multidisciplinary teams and offers significant learning and growth opportunities.

• 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, including retrieval-augmented generation and hybrid retrieval strategies.
• 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.
• Partner closely with product, engineering, data science, ethics, and infrastructure teams to build robust, compliant AI systems.

• 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.