BCG Platinion | Principal Architect - AI jobs in United States
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Boston Consulting Group (BCG) · 1 day ago

BCG Platinion | Principal Architect - AI

Boston Consulting Group (BCG) is a global management consulting firm that partners with leaders to tackle their most important challenges. They are seeking a Principal AI Platforms Architect to design and evolve the architecture of next-generation intelligent systems, bridging high-level design with hands-on AI engineering.

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Responsibilities

Collaborative. They are interdisciplinary team players who seek alignment and establish relationships ranging from cross-functional stakeholder groups to existing teams
Systems thinkers. They are well-versed in designing sophisticated and robust AI solutions to common business problems
Technical experts. They are critical thinkers and have extensive Technology & AI expertise that drives novel solutions
Comfortable with ambiguity. They know the path forward isn't always well-defined. They are comfortable and confident working through the unknown
Change agents. They know how to make change happen across an organization. They can align and onboard teams to implement new processes and toolsets. They embrace complex challenges and guide an organization to optimize technology best practices
Agile advocates. They are well-versed in agile methodologies and use their expertise to strategically tackle difficult challenges and implement change
Innovative. They are creative thinkers who apply their deep technology architecture and AI Platform expertise to envision novel design patterns for the next generation of technology solutions
Knowledgeable. They have a sophisticated understanding of Technology Architecture and AI Platforms, acting as a viable resource on teams as both a hands-on practitioner and subject matter expert
Strategic partners. They work closely with senior client stakeholders, including C-level executives, to build hypothesis-driven solutions at the intersection of technology and business. They bridge the gap between IT and business functions, ensuring technology strategies are aligned with organizational goals to solve critical business challenges
Define system architectures for AI and LLM-based solutions, ensuring scalability, low-latency inference, and modularity
Design Agentic AI solutions to optimize business workflow automation, including the use of memory, agentic reflection, and task planning
Design AI integration patterns, such as RAG, for model orchestration, context management, prompt orchestration, and external system connectivity
Establish architectural blueprints, design principles, and governance frameworks for model versioning, data lineage and responsible AI solutions across the organization
Architect polyglot model runtimes and hybrid pipelines (batch training + streaming inference) with attention to cost, latency, and risk
Develop minimal viable prototypes or proof-of-concepts to test model architectures, RAG flows, and agent orchestration
Evaluate emerging AI frameworks and tools (e.g., LangChain, LlamaIndex, LangGraph, Strands, Google ADK, Semantic Kernel) for suitability and integration
Develop solutions using the latest agentic orchestration engines, such as n8n, Retool, OpenAI Agentkit, Microsoft Copilot Studio, and AWS Flows
Support restructuring IT processes and organization to adopt new systems
Oversee system performance, observability, and governance as solutions transition from prototype to production using tools such as LangSmith, Prometheus, Grafana, Evidently, WhyLogs, and OpenTelemetry
Optimize the application development processes - define standards for versioning, testing, and monitoring of models and AI services (LLMOps)
Craft compelling narratives for Agentic reimagination of businesses, translating complex ideas for both technical and non-technical audiences
Deliver impactful presentations, leading modules, presenting findings, and building consensus with clients
Build collaboration, mentor teams, and share knowledge to drive collective success - partner with product managers, data scientists, and engineers to translate business goals into robust AI system designs
Facilitate technical and strategic working sessions and workshops with both client and internal teams - provide technical direction and mentorship to engineering teams on architectural patterns, scalability, and best practices
Provide directions on key work items and feedback to other team members
Manage junior team members by defining and organizing their "module", helping them structure their work and associated analyses
Mentor and coach junior team members by building mutual development agreements and manufacturing opportunities for them to grow and develop along explicitly defined objectives
Provide quality assurance oversight - Review junior team members’ output for overall correctness, level of insight, clarity, etc
Promote an overall positive experience for junior staff
Serve as a role model by actively demonstrating and living BCG’s Culture and Values
Stay ahead of the curve on new techniques in distributed AI systems, retrieval-augmented generation (RAG), retrieval/indexing strategies, and agent frameworks
Drive innovation, uncovering novel ideas and transformative solutions
Serve as the subject matter expert on LLM integration, agentic system design, and intelligent automation frameworks
Foster a growth mindset, continuously learning and applying new skills to grow your impact
Support business development through technical proposals with clear AI/ML technology choices and roadmaps
Manage mid-to-senior level client relationships autonomously
Contribute to our thought leadership through written publications and speaking at events and conferences

Qualification

AI architectureAI/ML application designCloud architectureProgramming languagesAgile methodologiesTechnical consultingData managementContainerizationCustomer orientationCollaborationProblem-solvingCommunication skills

Required

Bachelor's degree in information technology, business administration, computer science, information systems, or system controls & engineering or a related field
10+ years of technology consulting or software engineering experience with more than 5+ years in architecture discipline
Strong foundation in software architecture and distributed systems design
Proven experience designing or scaling AI/ML or LLM-based applications
Proficiency in one or more programming languages: Python, JavaScript, TensorFlow, Keras, PyTorch, TypeScript, or Node.js
Familiarity with modern AI frameworks (LangChain, LangGraph, Google ADK, Strands, Semantic Kernel, AutoGen, CrewAI, LlamaIndex)
Understanding of Agentic AI capabilities and tools such as LangChain agents, AutoGen, multi-agent orchestration, RAG, memory modules, vector DBs, function-calling, observability, safety, deployment strategies and governance
Understanding of cloud architecture, data management, and API-based system integration
Cloud platforms: AWS (Bedrock, AgentCore), Microsoft (Azure AI Foundry, Copilot Studio), Google (Vertex AI, ADK, Agentspace)
Design and deployment of autonomous and semi-autonomous agents across multi-cloud and hybrid environments
Integration of agent workflows with enterprise APIs, knowledge bases, and vectorized memory stores
Containerization and orchestration: Docker, Kubernetes, Helm, Istio with GPU autoscaling for agentic runtime optimization
Experience with AI coding tools such as Cursor, Replit, Lovable, Claude code, Codex etc
Experience with vector databases, embeddings, context retrieval, and prompt orchestration patterns
Outstanding ability to work creatively, autonomously, analytically, in a fast-paced problem-solving environment with a focus on customer and results
Superior technical knowledge, engineering rigor, and creative problem-solving
Ability to explain complex technology topics to senior executives
An agile mindset that moves past blockers and a vision to iteratively migrate to the modern set of architecture capabilities with a lens of business benefits/value
Experience with the management of decision processes at large organizations
Strong customer and results orientation
Confidence and persuasiveness
Experience planning and managing large, complex projects
Willingness to travel to work with clients and BCG teams

Preferred

Master's degree is a plus
Exposure to Pinecone, QDrant, Cosmos DB, Azure Search is a plus
Experience with knowledge graphs such as Neo4j and knowledge representation techniques is a plus
Exposure to Agentic memory engines such as mem0, Redis Memory, Postgres Memory is a plus
Ideally, experience with the below technologies: Multi-agent systems, RAG, or knowledge graph integration
MLOps / LLMOps pipelines, observability, and evaluation frameworks
Frontend frameworks (React, Next.js) for intelligent app interfaces
Consulting or innovation lab experience — comfortable with ambiguity and rapid iteration

Benefits

Zero-dollar ($0) health insurance premiums for BCG employees, spouses, and children
$10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs
Dental coverage, including up to $5,000 (USD) in orthodontia benefits
Vision insurance with coverage for both glasses and contact lenses annually
Reimbursement for gym memberships and other fitness activities
Fully vested retirement contributions made annually, whether you contribute or not
Generous paid time off including vacation, holidays, and annual office closure between Christmas and New Years
Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement
Employees, spouses, and children are covered at no cost. Employees share in the cost of domestic partner coverage.

Company

Boston Consulting Group (BCG)

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Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities.

H1B Sponsorship

Boston Consulting Group (BCG) has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (617)
2024 (632)
2023 (475)
2022 (474)
2021 (423)
2020 (385)

Funding

Current Stage
Late Stage

Leadership Team

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Christoph Schweizer
Chief Executive Officer
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Paul Tranter
Chief Financial Officer
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Company data provided by crunchbase