Tech Lead​/Lead Architect – RAG & Agentic AI

Title

Tech Led / Lead Architect – RAG & Agentic AI

EOpen – FTC / FT

Day 1 onsite – 5 Day

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.

• Strong experience in RAG pipelines, embeddings, vector databases, LLM orchestration, and prompting techniques.
• Hands‑on expertise in AWS (Lambda, API Gateway, Bedrock, S3, Open Search, 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.

• Experience with Agentic AI frameworks (Lang Graph, CrewAI, Auto Gen, 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.
• Has built or deployed production AI/LLM solutions (not just PoCs), understands agent lifecycle, orchestration, and tool integrations.
• Demonstrates AWS architecture and security (IAM roles, network isolation, security fit).
• Has led architecture/design discussions with customers.
• Shows ownership mindset (decision‑making without dependency).
• Can mentor/coach developers and review design.

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