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Expert Consultant, Coro, AI Engineer

Job in Washington, District of Columbia, 20022, USA
Listing for: Bain & Company
Full Time position
Listed on 2026-06-24
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below

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 Best Place 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

About the Commercial Excellence practice

Bain’s B2B Commercial Excellence practice works with clients to develop a clear go-to-market (GTM) strategy: building an in-depth understanding of market opportunity, designing effective sales coverage and capacity models to attack that opportunity, and creating an industrialized sales execution capability to ensure commercial success. Coro’s software and data solutions are an innovative and increasingly critical part of this approach. To learn more about Coro, visit https://(Use the "Apply for this Job" box below)..

Where

you’ll fit within the team

About Coro ℠

The Coro ℠ business unit brings together Bain’s proprietary suite of software-as-a-service (SaaS) and data-as-a-service (DaaS) tools, including cloud-based software, online capability assessments, and advanced analytics, focused on enabling Commercial Excellence for B2B companies.

The Impact You’ll Have

Bain’s Commercial Excellence work helps B2B companies turn market opportunity into booked revenue, through sharper go-to-market strategy, better sales coverage and capacity, and industrialized execution.

We are hiring an AI Engineer to join the Coro team and help build the next generation of Coro’s products: cutting-edge software and data tools infused with AI and agentic capabilities. Working across rapid proofs of concept (POCs), MVPs, and, where appropriate, scaled production deployments, you will design and implement LLM-driven features and agentic workflows that use tools, data, and enterprise systems to execute multi‑step tasks reliably and safely, turning raw, heterogeneous client data into the structured analytics and synthesized outputs that case teams rely on in live engagements.

These capabilities power Coro’s product suite, such as Money Map™, which builds a granular, bottoms‑up view of market opportunity, and the repeatable analytics workflows behind Bain’s B2B go‑to‑market work, across challenges such as opportunity mapping, indirect channel growth, and profitability analysis.

While GenAI and agentic AI are the primary focus, you will also draw on data science and ML engineering skills as needed, including building evaluation approaches, working with data pipelines, and developing or integrating ML models when they materially improve performance or reliability.

You will have opportunities to work with major AI ecosystem partners through Bain’s partnerships, collaborating on real client deployments and helping shape how emerging capabilities are applied in commercial settings. You will learn by doing, with support from experienced teammates, frequent feedback, and increasing responsibility over time, in keeping with Bain’s apprenticeship model.

What you’ll do Build AI-powered tools and products that drive real business outcomes
  • Design and develop GenAI applications (e.g., copilots, workflow automation, decision support for commercial teams) using modern LLM stacks.
  • Implement agentic workflows where they add clear value (e.g., tool use, multi‑step execution, human‑in‑the‑loop controls), with attention to reliability, safety, and clear failure modes.
  • Design and build advanced search, retrieval, and knowledge pipelines across diverse data structures and stores (e.g., hybrid search, vector stores, graph databases / knowledge graphs, and traditional data platforms), covering indexing strategies, metadata design, relevance tuning / reranking, freshness, caching, access controls, and source attribution.
  • Build robust agent capabilities including context…
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