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Boston Consulting Group

Global strategy and transformation consulting firm

Lead AI Tech Architect - AI Platforms

AI Application EngineeringConfirmed live in the last 24 hours
Full-time$190k

About the Job

Requirements

  • A bachelor's degree in information technology, computer science, engineering, or a related field is required; a master's degree is a plus.
  • At least six years of experience in software engineering, data engineering, or AI systems, including experience in architecture or technical leadership roles.
  • A strong foundation in software architecture and distributed systems.
  • Experience designing AI, machine-learning, or large-language-model systems in production or near-production environments.
  • Experience using modern AI-assisted coding and development tools, such as Cursor, Claude Code, Replit, or Lovable, to accelerate prototyping, experimentation, and implementation of AI platform solutions.
  • Familiarity with modern agentic AI frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, or LlamaIndex.
  • Working knowledge of agentic AI concepts, including retrieval-augmented generation, 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 Google Cloud Platform.
  • Experience deploying AI solutions on cloud AI platforms and services.
  • Experience integrating AI workflows with enterprise systems and data sources.
  • Exposure to containerization and orchestration technologies such as Docker and Kubernetes.
  • Strong analytical thinking, problem-solving skills, and attention to engineering quality.
  • Ability to explain technical concepts clearly to senior technical and non-technical stakeholders.
  • A consulting mindset and comfort operating in ambiguous, fast-paced environments.
  • An agile mindset focused on delivering business value through modern AI platforms.
  • Willingness to travel to work with clients and BCG teams as needed.
  • Generative AI fluency, including proven use of tools such as ChatGPT or Claude and validation of responses.

Responsibilities

  • Design system architectures for AI and large-language-model-based solutions, balancing scalability, performance, modularity, and operational complexity.
  • Evaluate emerging AI frameworks and tools, such as LangChain, LlamaIndex, LangGraph, Strands, Google ADK, and Semantic Kernel, and recommend fit-for-purpose usage.
  • Design agentic AI solutions for intelligent workflow automation, including task decomposition, memory usage, and orchestration patterns.
  • Define AI integration patterns 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 covering batch training and real-time inference, considering cost, latency, and operational risk.
  • Develop proofs of concept and architectural prototypes to validate AI platform designs, retrieval-augmented-generation flows, and agent orchestration patterns.
  • Support implementation of agentic workflows using modern orchestration and automation platforms in collaboration with engineering teams.
  • 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.
  • Translate complex AI platform concepts into clear narratives for technical and non-technical stakeholders.
  • Deliver structured presentations, lead technical discussions, and support client decision-making.
  • Collaborate 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.
  • 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.
  • Review outputs for technical correctness, clarity, and architectural alignment.
  • Stay current on emerging techniques in agentic AI, retrieval-augmented-generation architectures, retrieval strategies, and AI platform patterns.
  • Contribute ideas to improve AI platform architectures, delivery approaches, and client outcomes.
  • Develop expertise 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 working relationships with client counterparts and internal stakeholders.

Desired Qualifications

  • Proficiency in one or more programming languages, such as Python, JavaScript, or TypeScript.
  • Experience with AI developer tools and productivity accelerators.
  • Familiarity with vector databases and retrieval patterns; exposure to Pinecone, Qdrant, Azure AI Search, or similar tools.

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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