Tech Lead / Lead Architect - RAG & Agentic AI Urgent Need

Job Title:Tech Lead / Lead Architect – RAG & Agentic AI

Location: Columbus, OH/ Wilmington, DE – 3 days onsite role

Long Term Project

Strong financial and banking domain experience must need.

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

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

Good-to-Have

• Experience with Agentic AI frameworks (LangGraph, CrewAI, AutoGen, Semantic Kernel, etc.).
• Exposure to marketing domain use cases (campaign optimization, personalization, analytics, insights).
• Familiarity with multi-agent orchestration, tool usage (MCP), and human-in-loop workflows.

Screening Checklist (Quick Evaluation for Interviews)

Use this to quickly filter candidates:

Technical Fit

• Can clearly explain a RAG architecture (data ingestion → embedding → retrieval → generation)
• Has built or deployed production AI/LLM solutions (not just POCs)
• Understands agent lifecycle, orchestration, and tool integrations
• Demonstrates AWS architecture + security (IAM roles, network isolation, secrets)
• Knows prompt engineering + evaluation + guardrails implementation

Architect & Leadership Fit

• Has led architecture/design discussions with customers
• Can drive PoC → production transition independently
• Shows ownership mindset (decision-making without dependency)
• Can mentor/coach developers and review designs/code

Communication & Behavioral Fit

• Explains complex AI topics in simple, structured way
• Asks insightful, strategic questions
• Demonstrates ability to handle ambiguity and pressure