Jobs · North Carolina

Agentic AI Engineer, Lead - Anthropic/Claude

Deloitte · Charlotte, NC · 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

Requirements

  • 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 work independently and collaborate as part of a team
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to mentor and provide clear guidance to others

Qualifications

  • Required: 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
  • Required: 3+ years of hands-on experience developing AI/ML applications in Python
  • Required: 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
  • Required: 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
  • Required: 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
  • Required: 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
  • Preferred: 2+ years of experience leading, managing, and delivering complex AI solution engagements
  • Preferred: Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI, or a related field
  • Preferred: Ability to work independently and collaborate as part of a team
  • Preferred: Meticulous attention to detail and quality of work product
  • Preferred: Ability to build and sustain professional relationships
  • Preferred: Ability to lead projects or workstreams
  • Preferred: Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Preferred: Strong interpersonal skills and professional demeanor
  • Preferred: Ability to mentor and provide clear guidance to others

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