Agentic AI Engineer - Anthropic/Claude
AI summary of the role
This role is for an AI and Data Science Engineer II at Deloitte's AI & Engineering team, focused on designing and building production-grade agentic AI systems using Anthropic's Claude models for large enterprise clients.
What you’ll do
- Design and build Generative AI and agentic solutions using Claude, including agent orchestration, tool integration, and MCP-based integrations, using the Claude Agent SDK and Claude Cowork
- Engage with client stakeholders and sponsors, acting as the primary technical point of contact for your workstream
- Lead small teams through business requirements gathering, functional design, process mapping, and support-model definition, providing technical direction throughout
- Deliver components of client engagements spanning solution design, prototyping, testing, and production rollout
What you’ll bring
- 3+ years of experience designing, developing, and delivering AI/ML solutions
- 2+ years of hands-on experience developing AI/ML applications in Python
- At least 1 year of direct experience designing or implementing production agentic workflows involving orchestration, tool integration, state management, evaluation, guardrails, and human-in-the-loop controls
- At least six months of hands-on experience developing agentic AI solutions using the Claude Agent SDK, including agent orchestration, tool integration, permissions, or MCP integrations
Technologies
Claude Agent SDK · Claude Cowork · Model Context Protocol (MCP) · Anthropic API · Python · Azure AI Foundry · Amazon Bedrock · Google Vertex AI · retrieval-augmented generation · agent orchestration
Source and classification
Implementation & delivery · Evidence for this classification:
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 an AI and Data Science Engineer II on the AI & Data team, you will be responsible for driving technology-focused client delivery across complex engagements. Engage with client stakeholders and sponsors, acting as the primary technical point of contact for your workstream Design and build Generative AI and agentic solutions using Claude, including agent orchestration, tool integration, and Model
More from the job description
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 an AI and Da [... source excerpt omitted ...] g Claude, including agent orchestration, tool integration, and Model Context Protocol (MCP) based integrations, using the Claude Agent SDK and Claude Cowork Deliver components of client engagements spanning solution design, prototyping, testing, and production rollout Lead small teams through business requirements gathering, functional design, process mapping, and support-model definition, providing technical direction throughout Monitor progress against plan, identify variances, and drive corrective action before issues affect delivery Identify risks, assumptions, and constraints early, and implement approved mitigations to protect delivery Maintain clear, consistent comm [... source excerpt omitted ...] deployed onto client engagements that typically involve one or more of the following: Designing and building agentic AI solutions powered by Claude, from proof-of-concept through production deployment Implementing multi-agent systems that automate business processes, integrate with enterprise tools, and operate within defined autonomy and guardrails Modernizing existing AI/ML or data platforms to incorporate Generative AI capabilities, including retrieval-augmented generation and agent-based orchestration Advising clients on Generative AI adoption strategy, responsible AI practices, and model/platform selection Partnering directly with client technology, data, and business sta
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