Agentic AI is moving from experimentation to production, and organizations everywhere are racing to figure out how to build it responsibly and at scale. We're growing a team of engineers who want to work at the center of that shift: designing and building autonomous, multi-agent systems powered by Anthropic's Claude models for some of the world's largest organizations. Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation. AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements. Recruiting for this role ends on 09/30/2026. Work you'll do As a Lead AI and Data Science Engineer II on the AI & Data team, you will be responsible for leading the design and delivery of AI solutions for client engagements.

• Lead small engagements or key workstreams within larger technology transformation programs
• Own the design and architecture of Claude-based Generative AI and agentic solutions, including RAG pipelines, embeddings and vector databases, orchestration frameworks, memory/state patterns, and tool-use architectures, leveraging the Claude Agent SDK and Claude Cowork
• Design and implement cloud and hybrid data architectures, migration approaches, and technology solutions that support Claude/Anthropic deployments
• Build and govern LLMOps practices, including evaluation frameworks, monitoring, prompt lifecycle management, and guardrails for production Claude deployments
• Manage day-to-day stakeholder relationships, aligning technical delivery with business and program objectives
• Oversee the quality of team deliverables and recommendations, contributing hands-on to solution delivery when needed
• Support practice growth through proposal development, thought leadership, and go-to-market content related to agentic AI
• Coach and upskill practitioners transitioning onto Generative AI and Claude-focused work You'll be deployed onto client engagements that typically involve one or more of the following:
• Leading the architecture and delivery of enterprise-scale agentic AI platforms powered by Claude, from design through production operation
• Owning technical direction for multi-a.

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