BCG Platinion | Lead IT Architect - AI
Listed on 2026-02-21
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IT/Tech
AI Engineer, Systems Engineer
Locations
Atlanta | Austin | Boston | Brooklyn | Chicago | Dallas | Denver | Detroit | Durham | Houston | Miami | Minneapolis | Nashville | New York | Philadelphia | Pittsburgh | Summit | Washington
Who We AreBoston Consulting Group (BCG) is a global consulting firm that partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. Our success depends on a spirit of deep collaboration and a global community of diverse individuals determined to make the world and each other better every day.
BCG's Tech and Digital Advantage (TDA) practice focuses on helping clients deliver competitive advantage and business superior performance through data, technology and digital. BCG Platinion sits within the TDA practice and is at the heart of the strategic impact we have with our clients. Our consultants and experts globally work across all industries and provide deep experience and expertise in a wide variety of topics including Digital Transformation, Data & Digital Platforms, AI at Scale, Cybersecurity and Digitizing the Tech Function.
At BCG, we bring together the right people to conquer complexity, drive material change, and initiate positive, long‑term impact. Explore our BCG Culture and Values for more information.
About BCG PlatinionBCG Platinion's presence spans across the globe, with offices in Asia, Europe, and South and North America. We achieve digital excellence for clients with sustained solutions to the most complex and time-sensitive challenge. We guide clients into the future to push the status quo, overcome tech limitations, and enable our clients to go further in their digital journeys than what has ever been possible in the past.
At BCG Platinion, we deliver business value through the innovative use of technology at a rapid pace. We roll up our sleeves to transform business, revolutionize approaches, satisfy customers, and change the game through Architecture, Cybersecurity, Digital Transformation, Enterprise Application and Risk functions. We balance vision with a pragmatic path to change transforming strategies into leading‑edge tech platforms, at scale.
You'll Do
- Collaborative. They are interdisciplinary team players who build strong working relationships across engineering, data, product, and client teams to drive alignment and delivery.
- Systems thinkers. They design robust AI platform and agentic system architectures that address complex business problems while balancing scalability, performance, and maintainability.
- Technical leaders. They bring strong AI and platform engineering expertise to guide architectural decisions and shape high‑quality technical solutions.
- Comfortable with ambiguity. They operate effectively when requirements are evolving, helping teams navigate uncertainty and converge on pragmatic architectural choices.
- Change drivers. They support organizations in adopting new AI platforms, processes, and ways of working, helping teams transition solutions from concept to production.
- Agile practitioners. They apply agile and iterative delivery approaches to guide teams through complex technical challenges and evolving solution designs.
- Innovative. They apply modern AI platform and agentic design patterns to enable the next generation of AI‑enabled products and capabilities.
- Practitioner‑architects. They combine hands‑on technical experience with architectural thinking, contributing directly where needed while guiding broader solution design.
- Trusted partners. They work closely with senior client stakeholders and internal leaders to translate business needs into scalable AI platform architectures that align with enterprise technology strategies.
We are seeking a Lead AI Platform Architect to design and guide the implementation of intelligent, agentic AI platforms. This role bridges platform architecture and hands‑on technical leadership, ideal for someone who can design end‑to‑end AI platform solutions while remaining close to implementation through prototyping and architectural validation. You will work across AI, data, product, and engineering teams to define and deliver scalable AI…
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