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 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 will be part of a team building Bain’s integrated suite of agentic decisioning tools that gives large organizations always\-on intelligence across their most important growth decisions. The role sits at an intersection few organizations can offer: the analytical depth and client access of a top\-tier consultancy, the technical ambition of a product company, and engineering work at the frontier of applied AI. You will work inside Bain’s standing product team, building software that helps the world’s largest companies answer the questions that drive their business: where to invest, where to focus, and how to win. The impact of what you build is direct and immediate, and the platform compounds in value with every release. **The platform has two layers working together:** an agentic core and a set of decision modules, each solving a distinct commercial problem. The build lifecycle is connected to the real world: as case teams work alongside clients across industries and geographies, that feedback flows straight back to engineering and into the product. Every client engagement makes the platform smarter, broader, and more resilient. This is a startup inside an established company. You get genuine early\-stage ownership and real influence over architecture and product direction, backed by Bain’s global scale, client relationships, and leadership commitment; the pace of a startup with the runway of a global firm. We are looking for engineers who see how to make a product better and bring that instinct to every sprint without being asked, and who are comfortable with problems that do not have a known answer. The work involves real\-time decision engines, cloud\-native infrastructure, and data problems with no off\-the\-shelf answer. Experience with agentic systems matters: tool and context protocols such as MCP, evaluation harnesses, memory design, and entity resolution across messy enterprise data. This is applied AI in production, at scale, with real users depending on what you build. The field is moving quickly and the team is built to move with it, so the willingness to keep learning counts for as much as what you already know. Where You’ll Fit Within the Team The AI Engineer is a core builder of the Growth AI Performance System platform’s Agentic Core and Interface: the shared foundation that all three product modules are built on. This is not a module\-level role; you are building the central intelligence layer: the agentic workflows, retrieval and knowledge pipelines, tool integrations, and interface infrastructure that every product in the suite depends on. Moving solutions from early POC and MVP through to scaled production deployments, you are responsible for the reliability, quality, and coherence of the systems that real client teams use every day. You will work across the platform and product modules focused on marketing ROI, brand, and pricing strategy, translating the analytical and commercial questions that client teams are trying to answer into reliable, production\-grade agentic systems that deliver those answers at scale. The role requires both deep technical capability and genuine client awareness. You will engage directly with consulting teams and, at times, with senior stakeholders, presenting how the Agentic Core works, translating system design decisions into business terms, and using that feedback to make the platform better. The build loop here is tight: client engagement informs engineering, and every release makes the suite more capable. This role sits at the intersection of research and production engineering. The problems are rarely solved by off\-the\-shelf tooling: they require judgment about when agentic approaches add real value, how to build systems that fail gracefully, and how to measure quality in ways that matter to real users on real client engagements. What You’ll Do Building the Agentic Core * Build and own core components of the Growth AI Performance System Agentic Core, the shared intelligence layer that all product modules depend on, including multi\-agent orchestration frameworks, tool registries, shared memory and state management, and the interface infrastructure that surfaces platform capabilities to users * Build AI applications for enterprise use cases across the full delivery l