Tech Lead Lead Architect – RAG & Agentic AI

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

Location: Columbus OH/ Wilmington DE 3 days onsite role

Long Term Project

Kindly extend your support for these roles 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:

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.

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