Senior AI Factory Product Builder, United States - BCG X
About The Position
The Senior AI Factory Product Builder works within BCG’s centralized AI Factory to build AI-enabled products, tools, and delivery assets that scale across the firm. The role focuses on accelerating delivery, improving quality, and evolving how BCG teams work and support clients. The Product Builder works with front-line consultants, offer teams, and product leadership to identify repeatable challenges and opportunities, then designs, builds, and deploys AI-powered solutions—including agents, services, and workflows—for adoption across practices, regions, and client contexts. Success is measured by shipped assets, adoption by consulting teams, and tangible effects on delivery speed and quality. The role combines product thinking, applied AI, and hands-on execution. It involves using exposure to real client workflows to break apart processes, identify leverage points, and rapidly develop and deploy AI solutions, including agents built with Claude Code and other leading AI tools. Successful solutions are turned into reusable assets, patterns, and accelerators. The work bridges consulting judgment, technical execution, and long-term capability building, with attention to usability for nontechnical teams, BCG standards, security, robustness, and maintainability. The role is suited to a hands-on builder with a bias toward action and experimentation, who turns ambiguous ideas into usable products, takes ownership, and improves solutions through feedback and usage data. Employees must live within reasonable commuting distance of their home office and are expected to work in the office as directed. The position may require extended working hours at times.
Requirements
- 3–6 years of professional experience in software engineering or a related technical role; ideally in a technology-driven or consulting environment.
- Practical experience designing, developing, and deploying AI-powered solutions, including applications using large language models (LLMs), AI agents, and automated workflows.
- Hands-on experience using Claude Code to build, prototype, and iterate on AI-enabled solutions in an enterprise environment.
- Experience working with APIs, integrating third-party services, and connecting AI capabilities with existing tools, applications, and business systems.
- Experience deploying applications using cloud platforms such as AWS, Azure, or GCP, and working with agentic coding tools such as OpenAI Codex, Google Antigravity, Pi, or similar AI-powered development environments.
- Demonstrated experience building and deploying solutions that improve operational or delivery outcomes.
- Experience working end-to-end, from problem definition through solution development, deployment, and iteration.
- Experience identifying opportunities to automate or enhance business processes and translating them into practical, reusable technology solutions.
- Curiosity, adaptability, and a track record of building working solutions.
- Undergraduate degree required.
- 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.
Nice To Haves
- Prior experience acting as an innovator, preferably within a larger organization.
- Hands-on experience using Python for process automation, scripting, or building AI-enabled tools and workflows.
Responsibilities
- Design, build, and deploy AI-powered tools, agents, and services that support BCG consulting offers and delivery processes.
- Translate business and delivery needs into scalable, production-ready solutions that are usable by nontechnical consulting teams and aligned with BCG standards.
- Analyze consulting and delivery processes to identify opportunities for automation, augmentation, or redesign.
- Experiment with AI-enabled approaches and rapidly iterate based on feedback, usage data, and changing needs.
- Partner with AI Factory product, platform, and engineering teams on architecture, prioritization, and roadmap decisions.
- Balance experimentation speed with solution robustness, security, and maintainability.
- Document patterns, approaches, and best practices to support reuse and scale.
- Work with front-line consultants and offering teams to understand real delivery challenges.
- Connect product, technology, and consulting perspectives.
- Contribute to capability building and knowledge sharing across the AI Factory and broader BCG community.
- Turn successful solutions into reusable assets, patterns, and accelerators for use across similar engagements and portfolios.
Benefits
- Medical, dental, and vision coverage for employees and eligible family members, with zero-dollar premiums for employees, spouses, and children.
- Low $10 copays for doctor visits, urgent care visits, and generic prescriptions.
- Dental coverage, including up to $5,000 in orthodontia benefits.
- Vision coverage for glasses and contact lenses annually.
- Reimbursement for gym memberships and other fitness activities.
- Fully vested annual Profit-Sharing Retirement Fund contributions, plus the option to contribute personally to a 401(k) plan.
- Paid parental leave and family benefits including elective egg freezing, surrogacy, and adoption reimbursement.
- Paid time off, including 12 holidays per year, an annual office closure between Christmas and New Year’s, and 15 vacation days per year.
- Paid sick time on an as-needed basis.
- Domestic partner coverage is available with employees sharing in its cost.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
