The Lead AI Engineer will design, build, and deploy generative AI systems and solutions for Bain's clients. This role is part of the AI, Insights & Solutions team, which focuses on creating AI-powered solutions that drive measurable business impact. The position involves collaboration with multidisciplinary teams, including engineers, product managers, and data scientists, to transform business challenges into robust AI applications. The engineer will also have opportunities to mentor junior team members and work with major AI ecosystem partners.

• 3–5+ years in software engineering, ML engineering, or applied AI roles with hands-on building responsibilities.
• Demonstrated experience shipping generative AI features or systems end-to-end, from prototyping through production.
• Clear communication skills with the ability to explain technical concepts to non-technical collaborators and stakeholders.
• Solid prompt engineering and context engineering skills; familiarity with conversation design principles.
• Experience with RAG architectures and agentic patterns.

• Contribute to the design, development, and deployment of end-to-end generative AI systems.
• Build and iterate on multi-component AI pipelines, including retrieval-augmented generation.
• Implement reasoning, tool use, function calling, and orchestration across AI workflows.
• Build and maintain APIs, microservices, CI/CD pipelines, and cloud-native deployments.
• 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.