BCG Platinion | Lead AI Tech Architect - AI Platforms
BCG Platinion | Lead AI Tech Architect - AI Platforms
Posted 2 days ago
SENIORITY
Manager
About the role
- Develop 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 Support
- 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 (LLMOps).Communication and Collaboration
- 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.
- 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 Management
- 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.
- 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.
- 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.).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 services
- Integration of AI workflow with enterprise systems and data sources
- Exposure 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
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