BCG

Lead IT Architect role focused on designing and guiding the implementation of agentic AI platforms, integrating LLMs, data pipelines, and enterprise systems. The role involves system architecture design, evaluating AI frameworks, defining integration patterns like RAG, and supporting the transition from prototype to production. It requires a blend of architectural thinking and hands-on technical experience.

This role focuses on designing and architecting next-generation intelligent agentic systems, bridging high-level system design with hands-on AI engineering. The Principal AI Platforms Architect will define scalable architectures for AI-driven applications, integrating LLMs, data pipelines, and enterprise systems, with a focus on agentic solutions, RAG patterns, and low-latency inference. The role involves prototyping and evaluating emerging AI frameworks and tools.

This role focuses on building and deploying AI-enabled products, tools, and delivery assets within BCG's AI Factory. The AI Product Builder will work with consultants to identify challenges, design, build, and deploy AI-powered solutions (including agents) that accelerate delivery, improve quality, and evolve how BCG teams work. The role emphasizes hands-on execution, product thinking, and shipping usable products that have a tangible impact.

Senior Forward Deployed AI Engineer at BCG X, responsible for building and deploying AI solutions for clients across various industries. The role involves applying software development practices to the full analytics value chain, from framing business challenges to enabling clients to embrace AI. Requires a PhD and strong software development skills, with a focus on client interaction and thought leadership.

This role focuses on designing and implementing AI platforms and agentic systems, integrating LLMs, data pipelines, and enterprise systems. The Senior IT Architect will contribute to AI architecture and solution design, build RAG-based solutions, implement agentic AI components for workflow automation, and support the implementation and deployment of AI platform components. The role also involves prototyping, validation, and ensuring performance and reliability of AI services.