Solutions Architect

Lead AI Tech Architect - AI PlatformsLocations: Atlanta | Austin | Boston | Brooklyn | Chicago | Dallas | Denver | Detroit | Durham | Houston | Miami | Minneapolis | Nashville | New York | Philadelphia | Pittsburgh | Summit | WashingtonBoston 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.BCG 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.Lead AI Tech Architects - AI Platforms at BCG Platinion are: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.You're Good At: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.AI Architecture & Solution DesignDesign system architectures for AI and LLM-based solutions, balancing scalability, performance, modularity, and operational complexity.Evaluate emerging Ai frameworks and tooling (e.g., LangChain, LlamaIndez, LangGraph, Strands, Google ADK, Semantic Kernel, etc.) 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 & ValidationDevelop 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 SupportSupport 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 CollaborationTranslate 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 ManagementSupport 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 values.Innovation and GrowthStay current on emerging techniques in agentic AI, RAG architectures, retrieval strategies, and AI platform patterns.Contribute ideas that improve AI platform architectures, delivery approaches, and client outcomes.Develop depth as a go-to expert in AI platform and agentic system design within project teams.Continuously build skills and technical breadth to increase impact over time.Support business development through technical input, architecture sections of proposals, and solution shaping.Build strong working relationships with client counterparts and internal stakeholders.What You'll BringBachelor's degree in information technology, computer science, engineering, or a related field (Master's degree is a plus).6+ years of experience in software engineering, data engineering, or AI systems with experience in architecture or technical leadership roles.Strong foundation in software architecture and distributed systems.Experience designing AI/ML or LLM-based systems in production or near-production environments.Proficiency in one or more programming languages (e.g., Python, Javascript, TypeScript) is nice to have.Experience using modern AI-assisted coding and development tools (e.g., Cursor, Claude Code, Replit, Lovable) to accelerate prototyping experimentation, and implementation of AI platform solutions.Familiarity with modern AI agentic frameworks (LangChain, LangGraph, Semantic Kernel, AutoGen, LlamaIndex, etc.).Working knowledge of agentic AI concepts including RAG, multi-agent orchestration, memory patterns, vector databases, and function-calling.Understanding of Cloud architecture, data platforms, and API-based system integration, with depth in at least one hyperscaler (AWS, Azure, or GCP).Experience of deploying AI solutions on cloud AI platforms and servicesIntegration of AI workflow with enterprise systems and data sourcesExposure to containerization and orchestration technologies (Docker, Kubernetes)Experience with AI developer tools and productivity accelerators is a plus.Familiarity with vector databases and retrieval patterns; exposure to Pinecone, Qd