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Senior Agentic AI Engineer

$75 an hour and up

CRG · Charlotte, NC · Remote · Contract

Build · Found · posted 2 days ago

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Experience asked for: at least 8 years

Read out of the requirements below, in the employer's own words — not from a dropdown. Where a posting lists several requirements we take the largest, because a requirements list is a list of things you need all of.

Senior Agentic AI Engineer Location: Remote Duration: 6-month contract Compensation: $75+/hour W2 Our client is searching for a Senior / Principal Agentic AI Engineer and be at the forefront of innovation in artificial intelligence! This high-impact role involves leading the design, development, and governance of cutting-edge AI agents that empower our diverse brands and enterprise functions. You'll shape the future of agentic AI by building scalable, production-grade solutions and enabling a community of citizen developers to create intelligent, safe, and effective AI-powered workflows. If you're a passionate engineer ready to influence enterprise AI strategies and create transformative solutions, this is your opportunity to make a lasting impact. Required Skills • 8+ years (Senior) / 12+ years (Principal) of software engineering experience, including 2+ years focused on AI/ML systems, conversational AI, or agentic AI platforms • Deep hands-on expertise with Microsoft Copilot Studio (low-code and pro-code extension), Azure AI Foundry, including Azure OpenAI Service, Azure AI Search, Prompt Flow, Semantic Kernel, and Azure AI Agent Service • Proficiency in multiple agent frameworks such as LangChain, AutoGen, CrewAI, or similar orchestration tools • Strong understanding of agentic AI patterns: multi-agent orchestration, tool-use, embedding strategies, RAG architectures, and MCP • Software fundamentals in TypeScript, Python, or C#, RESTful/GraphQL APIs, event-driven systems, CI/CD pipelines, infrastructure-as-code (Bicep, Terraform), containerization • Excellent communication skills capable of engaging both technical and business audiences Nice to Have Skills: • Experience with Amazon Bedrock, AWS, Google Cloud Platform (GCP) • Background in Sierra AI or similar consumer-facing AI platforms • Power Platform administration, governance, and deployment expertise Preferred Education and Experience: • Bachelor’s degree in related disciplines; a Master’s degree is highly desirable • Extensive experience in delivering enterprise-grade AI solutions and tools for diverse teams and functions Category Code: JN008 SeniorityLevel: Mid-Senior

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