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