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Agentic AI Lead

Job in Columbus, Franklin County, Ohio, 43224, USA
Listing for: PRI Global
Contract position
Listed on 2026-07-10
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Architect
Salary/Wage Range or Industry Benchmark: 150000 - 210000 USD Yearly USD 150000.00 210000.00 YEAR
Job Description & How to Apply Below

Job Title:

Tech Lead / Lead Architect – RAG & Agentic AI

Location:

Columbus, OH (Hybrid – 3 Days Onsite) Duration:
Long-Term Contract Job Description

We are seeking an experienced Tech Lead / Lead Architect with deep expertise in RAG (Retrieval-Augmented Generation) and Agentic AI solutions. This role will lead the architecture, design, and delivery of enterprise-grade AI systems, working closely with customers and cross-functional teams to build scalable, secure, and high-impact AI applications.

Key Responsibilities
  • Lead the architecture, design, and implementation of Agentic AI and RAG-based solutions.
  • Collaborate with customers and stakeholders to gather requirements and translate them into scalable AI architectures.
  • Design and build Proof of Concepts (PoCs) to validate technical approaches before production deployment.
  • Develop secure, scalable, and cost-effective AI solutions on AWS.
  • Implement AI governance, guardrails, observability, and evaluation frameworks.
  • Drive technical discussions, mentor engineering teams, and provide architectural leadership.
  • Optimize AI solutions for performance, scalability, reliability, and cost efficiency.
  • Communicate architectural decisions, trade-offs, risks, and recommendations to both technical and business stakeholders.
Required Qualifications AI & LLM Expertise
  • Strong experience designing and implementing RAG pipelines.
  • Hands-on expertise with:
  • Embeddings
  • Vector Databases
  • LLM Orchestration
  • Experience building and deploying production-grade AI/LLM solutions.
  • Strong understanding of model evaluation, observability, performance tuning, and cost optimization.
  • Experience implementing AI guardrails including hallucination mitigation, toxicity controls, and responsible AI practices.
AWS Expertise

Hands-on experience with: AWS Lambda, API Gateway, Amazon Bedrock, Amazon S3, Amazon Open Search, IAM, VPC, AWS Secrets Manager

Preferred Qualifications
  • Experience with Agentic AI frameworks such as:
  • Multi-Agent Systems
  • MCP (Model Context Protocol) Tool Integrations
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