Agentic AI Engineer, Lead - Anthropic/Claude
Deloitte · Stamford, CT · Yesterday
Hybrid$141k–$278k/yrFull-time
About the role
We are seeking a Lead AI and Data Science Engineer II to join our rapidly growing AI & Engineering team. This role involves designing and delivering AI solutions for client engagements, leading the design and architecture of Claude-based generative AI and agentic solutions, and managing cross-functional delivery teams.
Responsibilities
- 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
- 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
Qualifications
- 6+ years of experience designing, developing, and delivering production AI/ML solutions, including at least 1 year delivering production Generative AI or Agentic AI systems
- 3+ 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 capabilities such as orchestration, tool integration, state management, evaluation, guardrails, and human-in-the-loop controls
- At least 1 year of hands-on experience developing agentic AI solutions using the Claude Agent SDK, including agent orchestration, tool integration, permissions, or MCP integrations
- At least 1 year of hands-on experience developing and deploying production solutions using Anthropic Claude models through the native Anthropic API or a supported cloud platform
- At least 1 year of experience applying prompt engineering, context engineering, structured outputs, and related techniques to improve the performance, reliability, and usability of AI solutions
- 2+ years of experience leading, managing, and delivering complex AI solution engagements
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI, or a related field
- Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
Preferred
- Experience in consulting or other client-facing delivery roles
- Hands-on experience using Claude Cowork to support enterprise workflows, automation, research, or other knowledge-work use cases
- Experience using Claude through one or more of the following: Azure AI Foundry, Amazon Bedrock, Google Vertex AI, or the native Anthropic API
- Experience with multi-agent systems, MCP integrations, agent evaluation, observability, safety controls, or production governance
- Certifications such as Claude Certified Architect - Professional (CCAR-P), Claude Certified Architect - Foundations (CCAR-F), or Claude Certified Developer - Foundations (CCDV-F)
- Cloud certification(s) - AWS, Azure, or Google Cloud
- Experience creating client workshop collateral and leading interactive working sessions
- Experience presenting technical content to both large and small audiences