Enterprise Architect - Python

Enterprise Architect :

Required Skills & Experience :

- 11-15 years in engineering with proven experience in technical leadership or team lead roles.

- Strong background in system integration across AI, data, and cloud environments.

- Hands-on expertise with Python/FastAPI and automation of production-grade services.

- Deep knowledge of AWS services (Lambda, EKS, Bedrock, SageMaker, Step Functions, EventBridge, IAM, VPC).

- Experience delivering infrastructure using Terraform, Docker, Kubernetes, CI/CD pipelines.

- Strong grounding in security and observability practices (OAuth, SSO, structured logging, distributed tracing).

- Ability to review and guide frontend delivery (React) without being a primary developer.

AI & GenAI Knowledge :

- Understanding of LLM lifecycles, embedding pipelines, RAG, inference latency, and multi-agent patterns.

- Familiarity with vector databases (Pinecone, FAISS, Weaviate, Qdrant) and their use cases.

- Experience integrating AI systems into production platforms with monitoring, observability, and failure handling.

- Clear perspective on responsible AI practices (bias detection, explainability, monitoring pipelines)