Principal Enterprise GenAI / Agentic AI Architect - (Freelance)

Positions: 1

Experience: Ideally 10–16 years overall, with significant recent hands-on GenAI/LLM architecture experience.

Mission

Own the end-to-end architecture across RAG, Agentic AI, enterprise integrations, model serving, security, evaluation, observability and production deployment.

This should not be a PowerPoint-only architect. We need someone technically deep enough to review code, challenge engineering decisions, troubleshoot RAG/agent behaviour and interact credibly with customer architecture/security/platform teams.

Mandatory capabilities

- Enterprise GenAI architecture
- Production RAG
- Agentic AI architecture
- Python
- LangGraph or comparable stateful orchestration
- Tool/function calling




- Human-in-the-loop workflows
- Vector databases
- Embeddings/reranking
- LLM/RAG/agent evaluation
- REST APIs/microservices
- Enterprise IAM
- RBAC/ABAC
- AI security and prompt-injection mitigation
- Kubernetes
- CI/CD and LLMOps/MLOps
- Enterprise observability

Highly desirable

OpenShift/OpenShift AI, NVIDIA NIM, KServe, NVIDIA GPU Operator, open-weight LLM deployment, ServiceNow, Splunk, Microsoft Graph and previous banking/financial-services experience.

Skills:- Large Language Models (LLM) tuning and Generative AI (GenAI)

📌 Principal Enterprise GenAI / Agentic AI Architect (Freelance) (India)
🏢 Ampera Technologies
📍 India