The Expert Senior Manager, AI Engineering role at Bain involves architecting, building, and scaling generative AI systems for clients. As a leader within the AI, Insights & Solutions team, you will work alongside multidisciplinary teams to translate complex business problems into AI applications. The position emphasizes the integration of AI into broader business transformations, ensuring measurable impact and adherence to responsible AI principles. You will also mentor technical teams and collaborate with various stakeholders to drive innovation in AI solutions.

• 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.
• Advanced prompt engineering, context engineering, and conversation design expertise.
• 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 early-stage research, model experimentation, and production system deployment.
• Oversee API development, microservices, CI/CD pipelines, 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.