Senior AI Factory Product Builder
New York, New York County, New York, 10261, USA
Listed on 2026-04-17
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IT/Tech
AI Engineer
Location: New York
Locations:
Boston | New York | Brooklyn | Chicago | Miami | Dallas | San Francisco | Seattle | Manhattan Beach | Pittsburgh | Los Angeles | Washington
As an AI Product Builder within BCG’s AI Factory (AIF), you will leverage exposure to real client workflows to break apart processes, identify leverage points, and rapidly develop and deploy AI solutions (including agents built using Claude Code and other leading AI tools) that accelerate delivery, improve quality, and unlock new ways of working. You will help turn successful solutions into reusable assets, patterns, and accelerators that scale across similar engagements and portfolios.
Key Responsibilities- Build AI‑enabled products and assets: design, build, and deploy AI‑powered tools, agents, and services that support BCG’s consulting offers and delivery processes; translate business and delivery needs into scalable, production‑ready solutions; ensure solutions are usable by non‑technical consulting teams and aligned with BCG standards.
- Improve and reimagine consulting workflows: break down existing consulting and delivery processes to identify opportunities for automation, augmentation, or redesign; experiment with new AI‑enabled approaches to improve efficiency, consistency, and quality; rapidly iterate based on feedback, usage data, and evolving needs.
- Operate with a product mindset: partner with AI Factory product, platform, and engineering teams on architecture, prioritization, and roadmap decisions; balance speed of experimentation with robustness, security, and maintainability; document patterns, approaches, and best practices to enable reuse and scaling.
- Collaborate across the firm: work closely with front‑line consultants and offering teams to understand real delivery challenges; act as a connector between product, technology, and consulting perspectives; contribute to capability building and knowledge sharing across the AI Factory and broader BCG community.
This role is best suited for people who live with a strong bias toward action and experimentation. When you see a problem, your instinct is to build a working solution, test it, and improve it – rather than over‑optimize plans or documentation. You enjoy turning ambiguous ideas into concrete, usable products that others rely on.
You’re Good At- Breaking complex workflows into simpler, more scalable components
- Building and shipping tools, services, or experiments that solve real business problems
- Operating comfortably in ambiguity and evolving requirements
- Learning new tools, platforms, and approaches quickly
- Bridging technical implementation and business outcomes
- Taking ownership and driving work forward independently
- Acting as an internal innovator or champion within an organization
- Demonstrated experience building and deploying solutions that improve operational or delivery outcomes
- Must have hands‑on experience with Claude/Markdown‑based development
- Experience working end‑to‑end: from problem definition through build, deployment, and iteration
- Strong analytical, problem‑solving, and communication skills
- English fluency (verbal and written) and comfort working in global teams
- Curiosity, adaptability, and a track record of building working solutions
- Prior experience acting as an innovator within a larger organization
- Strong academic background
- Undergraduate degree required; advanced degree preferred.
This role offers the opportunity to work at the center of BCG’s AI and product strategy, build assets that influence how consulting is delivered at scale, collaborate with world‑class consultants, technologists, and product leaders, develop deep insight into business processes and how AI can reshape them, and drive meaningful, visible impact across the firm.
Key Competencies- Strong execution and delivery orientation
- Generative AI and agentic development experience
- Product and systems thinking
- Entrepreneurial, resourceful mindset
- Comfort operating in ambiguity
- Collaborative, low‑ego approach
- Curiosity and commitment to continuous learning
You must live within a reasonable commuting distance of your home office. As…
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