WHAT MAKES US A GREAT PLACE TO WORK
We are proud to be consistently recognized as one of the world’s best places to work. We are currently the top ranked consulting firm on [1] Glassdoor’s Best Places to Work list and have earned the #1 overall spot a record seven times. Extraordinary teams are at the heart of our business strategy, but these don’t happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.
WHO YOU’LL WORK WITH
You’ll join our engineering experts within the [2] AI, Insights & Solutions (AIS) team. This team is part of Bain’s digital capabilities practice, which includes experts in analytics, engineering, product management, and design. In this multidisciplinary environment, you'll leverage deep technical expertise and business acumen to help clients tackle their most transformative challenges. You’ll work on integrated teams alongside our general consultants and clients to develop data-driven strategies and innovative solutions. Together, we create human-centric solutions that harness the power of data and artificial intelligence to drive competitive advantage. Our collaborative and supportive environment fosters creativity and continuous learning, enabling us to consistently deliver exceptional results.
WHERE YOU’LL FIT WITHIN THE TEAM
The Lead AI Engineer will design, build, and ship generative AI systems and agentic solutions for Bain’s clients. You will contribute across the full development lifecycle—from early experimentation and prototyping through to production deployment—collaborating closely with senior engineers, product managers, and data scientists. This is a hands-on individual contributor role with growing influence on technical direction and an opportunity to begin mentoring more junior team members.
WHAT YOU’LL DO
- Contribute to the design, development, and deployment of end-to-end generative AI systems, including multi-agent workflows and production-grade AI applications.
- Build and iterate on multi-component AI pipelines, including:
- Retrieval-Augmented Generation (RAG)
- Fine-tuning and parameter-efficient tuning
- Embedding generation and optimization
- Hybrid retrieval strategies (vector, graph, keyword)
- Implement reasoning, tool use, function calling, and orchestration across AI workflows
- Build and contribute to agentic systems, applying sound engineering principles around separation of concerns, memory architecture, and tool integration
- Contribute across the full stack: model experimentation, evaluation design, and production system deployment
- Build and maintain APIs, microservices, CI/CD pipelines, and cloud-native deployments with attention to observability and reliability
- Support and help build GenAIOps processes for automated testing, regression evaluation, latency monitoring, and continual improvement
- Balance performance, safety, responsible AI principles, and cost across system design:
- Implement guardrails, fallbacks, red-teaming strategies, and human-in-the-loop (HITL) workflows
- Partner with global ethics teams to ensure alignment with Bain’s Responsible AI standards
- Build automated evaluation suites integrating user signals, continual learning cycles, and ongoing model updates
- Design and implement evaluation frameworks covering:
- Hallucination rate and factual consistency
- Relevance and precision/recall
- Latency, throughput, and system-level performance
- Cost tracking and efficiency
- Partner closely with product, engineering, data science, ethics, and infrastructure teams to build robust, compliant AI systems
- Contribute technical insights and communicate findings clearly to cross-functional stakeholders and, where relevant, clients
- Share knowledge with peers and support a culture of technical learning around RAG, agents, prompt engineering, and AI safety
Must Have:
- 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
- Demonstrated ability to collaborate effectively across engineering, product, and data science teams; some experience supporting or informally mentoring peers is a plus
- Solid prompt engineering and context engineering skills; familiarity with conversation design principles
- Working knowledge of evaluation design, experimentation frameworks, and data labeling strategies for LLM applications
- Experience with:
- RAG architectures (vector-based retrieval; exposure to hybrid or graph-based approaches is a plus)
- Agentic patterns (tool use, routing, memory management; multi-agent systems experience is a plus)
- ReAct, RLAIF, and other HITL + feedback loops.
- AI-Specific Tools & Frameworks - Orchestration frameworks, Vector and graph databases and Model + API ecosystems
- Strong background in system design, architecture, and production-grade deployment
- Familiarity with cost and latency tradeoffs when working with LLM workloads
- Comfort operating in high-ambiguity environments with collaborative cross-functional teams
- Eagerness to grow into a technical leadership role and support junior team members
- Experience in client-facing consulting or enterprise transformation environments is a strong plus
- English is mandatory. Spanish/Portuguese is a plus.
Working Model & Travel
- This role requires a minimum of three days per week working together in person, either at a client location or at your Bain home office.
- Travel is required beyond your home office / primary working location. Frequency and destination vary by project needs.
References
Visible links
1. https://www.bain.com/about/awards-recognition/
2. https://www.bain.com/careers/work-with-us/integrated-teams/ai-insights-solutions-ais/
