Tech Lead / Lead Architect – RAG and Agentic AI

Hybrid in Wilmington, DE, US • Posted 1 day ago • Updated 1 day ago
Contract W2
Contract Corp To Corp
6 Months
No Travel Required
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

⭐ Evaluating experience...

Job Details

Skills

  • Amazon Lambda
  • Amazon S3
  • Artificial Intelligence
  • Microservices
  • Performance Tuning
  • Optimization
  • API
  • Cloud Security
  • AWS bedrock
  • AWS gateway
  • RAG
  • LLM
  • Python
  • MCP
  • AI architecture
  • Agentic AI
  • Vector Databases

Summary

Job Title: Tech Lead / Lead Architect  RAG & Agentic AI
Location: Columbus, OH/ Wilmington, DE  3 days onsite role
Local candidate: locals only
Duration: Long Term Project
Interview Mode: Phone + video
Visa: H1B
 
Role Summary:
Lead architecture, design, and delivery of Agentic AI and RAG-based solutions, partnering with customers and internal teams to build scalable, secure, and high-impact AI systems.

Must-Have:
  1. Strong experience in RAG pipelines, embeddings, vector DBs, LLM orchestration, and prompting techniques.
  2. Hands-on expertise in AWS (Lambda, API Gateway, Bedrock, S3, OpenSearch, IAM, VPC, Secrets Manager).
  3. Ability to design end-to-end AI architecture and build PoCs before committing solutions to customers.
  4. Deep understanding of AI guardrails (toxicity, hallucination control), data privacy, and cloud security patterns.
  5. Proven ability to lead from the front, mentor teams, and own delivery under tight timelines and high visibility.
  6. Strong customer communication skills – ability to explain architecture, trade-offs, and risks clearly.
  7. Experience handling model evaluation, observability, performance tuning, and cost optimization in production AI systems.
  8. Expertise in API design, microservices integration, and event-driven architectures for AI systems.

Good-to-Have:
  1. Experience with Agentic AI frameworks (LangGraph, CrewAI, AutoGen, Semantic Kernel, etc.).
  2. Exposure to marketing domain use cases (campaign optimization, personalization, analytics, insights).
  3. Familiarity with multi-agent orchestration, tool usage (MCP), and human-in-loop workflows.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91174026
  • Position Id: 9016685
  • Posted 1 day ago
Contact the job poster
ST

Sheetal Tiwari

Recruiter @ HAGNOS TECH LLC
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