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Boston Consulting Group

Global strategy and transformation consulting firm

Principal AI Tech Architect - AI Platforms

AI Application EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A bachelor's degree in information technology, business administration, computer science, information systems, system controls and engineering, or a related field is required; a master's degree is a plus.
  • At least 10 years of technology consulting or software engineering experience, including more than 5 years in an architecture discipline.
  • A strong foundation in software architecture and distributed systems design.
  • Proven experience designing or scaling artificial intelligence, machine learning, or large language model-based applications.
  • Proficiency in one or more of Python, JavaScript, TensorFlow, Keras, PyTorch, TypeScript, or Node.js.
  • Familiarity with modern artificial intelligence frameworks, including LangChain, LangGraph, Google ADK, Strands, Semantic Kernel, AutoGen, CrewAI, and LlamaIndex.
  • Understanding of agentic artificial intelligence capabilities and tools, including LangChain agents, AutoGen, multi-agent orchestration, retrieval-augmented generation, memory modules, vector databases, function calling, observability, safety, deployment strategies, and governance.
  • Understanding of cloud architecture, data management, and API-based system integration.
  • Experience designing and deploying autonomous and semi-autonomous agents across multi-cloud and hybrid environments.
  • Experience integrating agent workflows with enterprise APIs, knowledge bases, and vectorized memory stores.
  • Experience with containerization and orchestration using Docker, Kubernetes, Helm, and Istio, including GPU autoscaling for agentic runtime optimization.
  • Experience with artificial intelligence coding tools such as Cursor, Replit, Lovable, Claude Code, or Codex.
  • Experience with vector databases, embeddings, context retrieval, and prompt orchestration patterns.
  • Ability to work creatively, autonomously, and analytically in a fast-paced problem-solving environment focused on customer and results.
  • Strong technical knowledge, engineering rigor, and creative problem-solving ability.
  • Ability to explain complex technology topics to senior executives.
  • An agile mindset and ability to iteratively migrate architecture capabilities while focusing on business benefits and value.
  • Experience managing decision processes at large organizations.
  • Experience planning and managing large, complex projects.
  • Willingness to travel to work with clients and BCG teams; significant travel to client sites may be required depending on client and project needs.

Responsibilities

  • Define system architectures for artificial intelligence and large language model-based solutions, ensuring scalability, low-latency inference, and modularity.
  • Design agentic artificial intelligence solutions to optimize business workflow automation, including memory, agentic reflection, and task planning.
  • Design artificial intelligence integration patterns such as retrieval-augmented generation 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 artificial intelligence solutions.
  • Architect polyglot model runtimes and hybrid pipelines for batch training and streaming inference, considering cost, latency, and risk.
  • Develop minimum viable prototypes or proof-of-concepts to test model architectures, retrieval-augmented generation flows, and agent orchestration.
  • Evaluate emerging artificial intelligence frameworks and tools, including LangChain, LlamaIndex, LangGraph, Strands, Google ADK, and Semantic Kernel, for suitability and integration.
  • Develop solutions using agentic orchestration engines such as n8n, Retool, OpenAI AgentKit, Microsoft Copilot Studio, and AWS Flows.
  • Support restructuring information technology processes and organizations to adopt new systems.
  • Oversee system performance, observability, and governance as solutions move from prototype to production, using tools such as LangSmith, Prometheus, Grafana, Evidently, WhyLogs, and OpenTelemetry.
  • Optimize application development processes and define standards for versioning, testing, and monitoring models and artificial intelligence services (LLMOps).
  • Craft narratives for agentic business reinvention and translate complex ideas for technical and non-technical audiences.
  • Deliver presentations, lead modules, present findings, and build consensus with clients.
  • Build collaboration, mentor teams, share knowledge, and partner with product managers, data scientists, and engineers to translate business goals into robust artificial intelligence system designs.
  • Facilitate technical and strategic working sessions and workshops with client and internal teams, and provide engineering teams technical direction and mentorship on architectural patterns, scalability, and best practices.
  • Provide direction on key work items and feedback to other team members.
  • Manage junior team members by defining and organizing their modules and helping structure their work and analyses.
  • Mentor and coach junior team members by establishing mutual development agreements and growth opportunities aligned with defined objectives.
  • Review junior team members' output for correctness, insight, and clarity as part of quality assurance oversight.
  • Promote a positive experience for junior staff and serve as a role model for BCG's culture and values.
  • Stay current on distributed artificial intelligence techniques, retrieval-augmented generation, retrieval and indexing strategies, and agent frameworks.
  • Drive innovation and identify novel ideas and transformative solutions.
  • Serve as the subject matter expert on large language model integration, agentic system design, and intelligent automation frameworks.
  • Support business development through technical proposals with clear artificial intelligence and machine learning technology choices and roadmaps.
  • Manage mid-to-senior-level client relationships autonomously.
  • Contribute to thought leadership through written publications and speaking at events and conferences.

Desired Qualifications

  • A master's degree is a plus.
  • Exposure to Pinecone, Qdrant, Cosmos DB, or Azure Search.
  • Experience with knowledge graphs such as Neo4j and knowledge representation techniques.
  • Exposure to agentic memory engines such as mem0, Redis Memory, or Postgres Memory.
  • Experience with multi-agent systems, retrieval-augmented generation, or knowledge graph integration.
  • Experience with MLOps or LLMOps pipelines, observability, and evaluation frameworks.
  • Experience with frontend frameworks such as React or Next.js for intelligent application interfaces.
  • Consulting or innovation lab experience, including comfort with ambiguity and rapid iteration.

About the Company

Boston Consulting Group

Global strategy and transformation consulting firm

BCG provides global management consulting, advising leaders in strategy and transformation across industries, with expertise in M&A, operations, pricing, sustainability, and AI. BCG X builds AI solutions, digital products, and new ventures by combining engineers, data scientists, designers, and venture builders for clients. Specialist units Inverto, Platinion, and Quantis support procurement, IT architecture, and sustainability, while the BCG Henderson Institute supplies research. The goal is to help clients achieve lasting performance improvements and durable value through strategic advisory plus hands-on technology execution.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1963

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