BCG Platinion | Lead AI Tech Architect - AI Platforms

About the role

BCG Platinion seeks 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.

Responsibilities

• Collaborate with engineering, data, product, and client teams to drive alignment and delivery.
• Design robust AI platform and agentic system architectures addressing complex business problems while balancing scalability, performance, and maintainability.
• Bring strong AI and platform engineering expertise to guide architectural decisions and shape high-quality technical solutions.
• Operate effectively in evolving requirements, helping teams navigate uncertainty and converge on pragmatic architectural choices.
• Support organizations in adopting new AI platforms, processes, and ways of working, helping teams transition solutions from concept to production.
• Apply agile and iterative delivery approaches to guide teams through complex technical challenges and evolving solution designs.
• Apply modern AI platform and agentic design patterns to enable the next generation of AI-enabled products and capabilities.
• Combine hands-on technical experience with architectural thinking, contributing directly where needed while guiding broader solution design.
• Work closely with senior client stakeholders and internal leaders to translate business needs into scalable AI platform architectures that align with enterprise technology strategies.
• 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.
• 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.

Requirements

• Bachelor’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.).
• 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 services.
• Integration of AI workflow with enterprise systems and data sources.
• Experience with AI developer tools and productivity accelerators is a plus.
• Familiarity with vector databases and retrieval patterns; exposure to Pinecone, Qdrant, Aure Search, or similar is beneficial.
• Strong analytical thinking, problem-solving skills, and attention to engineering quality.
• Ability to explain technical concepts clearly to senior technical and non-technical stakeholders.
• Consulting mindset with comfort operating in ambiguous, fast-paced environments.
• Agile mindset with a focus on delivering business value through modern AI platforms.
• Willingness to travel to work with clients and BCG teams as needed.
• Gen AI fluency (e.g., proven usage of GenAI such as ChatGPT, Claude) and validation of response.

Qualifications

• Bachelor’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.).
• 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 services.
• Integration of AI workflow with enterprise systems and data sources.
• Experience with AI developer tools and productivity accelerators is a plus.
• Familiarity with vector databases and retrieval patterns; exposure to Pinecone, Qdrant, Aure Search, or similar is beneficial.
• Strong analytical thinking, problem-solving skills, and attention to engineering quality.
• Ability to explain technical concepts clearly to senior technical and non-technical stakeholders.
• Consulting mindset with comfort operating in ambiguous, fast-paced environments.
• Agile mindset with a focus on delivering business value through modern AI platforms.
• Willingness to travel to work with clients and BCG teams as needed.
• Gen AI fluency (e.g., proven usage of GenAI such as ChatGPT, Claude) and validation of response.

Skills

• Software architecture and distributed systems.
• AI/ML or LLM-based systems design.
• Modern AI agentic frameworks (LangChain, LangGraph, Semantic Kernel, AutoGen, LlamaIndex, etc.).
• Cloud architecture, data platforms, and API-based system integration.
• AI developer tools and productivity accelerators.
• Vector databases and retrieval patterns.
• Agentic AI concepts including RAG, multi-agent orchestration, memory patterns, and function-calling.
• Agile and iterative delivery approaches.
• Prototyping and architectural validation.
• System performance, observability, and governance approaches.
• Versioning, testing, deployment, and monitoring of AI services and models.
• Technical communication and stakeholder engagement.
• Project management and team collaboration.
• Business development and proposal writing.
• Client relationship management and decision-making facilitation.
• Technical mentoring and guidance.
• Strategic thinking and innovation.

Benefits

At BCG, we offer a comprehensive benefit program that includes:

• 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.