BCG Platinion | Lead AI Tech Architect - AI Platforms
Listed on 2026-07-08
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IT/Tech
AI Engineer (Applied/Software)
Locations
Atlanta | Austin | Boston | Brooklyn | Chicago | Dallas | Denver | Detroit | Durham | Houston | Miami | Minneapolis | Nashville | New York | Philadelphia | Pittsburgh | Summit | Washington
OverviewBoston 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 Platinion sits within the Tech and Digital Advantage (TDA) practice and focuses on delivering competitive advantage and business performance through data, technology, and digital.
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.
What You’ll Do- Lead AI Tech Architects - AI Platforms at BCG Platinion are:
Collaborative, Systems thinkers, Technical leaders, Comfortable with ambiguity, Change drivers, Agile practitioners, Innovative, Practitioner-architects, Trusted partners.
We are seeking a Lead AI Tech Architect - AI Platforms 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 architectures that integrate large language models (LLMs), data pipelines, and enterprise systems.
Responsibilities- AI Architecture & Solution Design
- Design system architectures for AI and LLM-based solutions, balancing scalability, performance, modularity, and operational complexity.
- Evaluate emerging AI frameworks and tooling and recommend fit-for-purpose usage.
- Design agentic AI solutions to enable intelligent workflow automation, including task decomposition, memory usage, and orchestration patterns.
- Define AI integration patterns such as RAG for context management, model orchestration, prompt workflows, and enterprise system connectivity.
- Contribute to architectural standards and design principles for model lifecycle management, data lineage, and responsible AI practices.
- Support architecture decisions for hybrid pipelines (batch training, real-time inference) with consideration for cost, latency, and operational risk.
- Prototyping & Validation
- Develop proof-of-concepts and architectural prototypes to validate AI platform designs, RAG flows, and agent orchestration patterns.
- Support implementation of agentic workflows using modern orchestration and automation platforms in collaboration with engineering teams.
- Implementation Management and Support
- Support teams and clients as AI platforms transition from prototype to production environments.
- Contribute to system performance, observability, and governance approaches as solutions scale.
- Help define development standards for versioning, testing, deployment, and monitoring of AI services and models (LLMOps).
- Communication and Collaboration
- Translate complex AI platform concepts into clear narratives for both technical and non-technical stakeholders.
- Deliver structured presentations, lead technical discussions, and support client decision-making.
- Collaborate closely with product managers, data scientists, and engineers to align architecture with business objectives.
- Facilitate technical working sessions and design workshops, providing architectural guidance and hands-on mentorship.
- Provide direction and constructive feedback on key technical work items across teams.
- Team Management
- Support and guide junior team members by helping structure their work and technical approach.
- Mentor junior architects and technology consultants through ongoing feedback and development conversations.
- Provide quality assurance by reviewing outputs for technical correctness, clarity, and architectural alignment.
- Contribute to a positive team environment and model BCG’s culture and…
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