Job Requirements minimum requirement to carry out the work – you might want to point out “additional plus/nice to have skills” that are not mandatory

Education and work experience

- Education: MSc or PhD in Computer Science, AI, Data Science, or related field.
- Experience: 6+ years in Software Architecture or Engineering, with a strong recent focus on Generative AI and Agentic Systems

Technical & Qualified Knowledge

- Agentic Mastery: You possess deep conceptual and practical knowledge of agent design patterns (ReAct, Plan-and-Solve, Swarms, Hierarchical Teams) and know when to use each.
- Hybrid Infrastructure Expert: You are fluent in Azure AI Foundry for governance and model management, but you are equally comfortable architecting custom solutions on AKS to run open-source frameworks (LangChain/LangGraph) when managed services fall short.
- Data-Driven Architecture: Strong experience with Databricks,



understanding how to expose complex data pipelines as "Tools" for agents and how to manage agent memory/state at scale.
- API & Protocol Design: Proven ability to design robust, event-driven architectures (CloudEvents, Kafka) and standard APIs (FastAPI, GraphQL, MCP) for distributed systems.
- Strategic Leadership: You are required to communicate complex architectural decisions to stakeholders and mentor senior engineers, fostering a culture of technical excellence.
- Tech Stack You Will Master:
- Orchestration: LangGraph, AutoGen, Semantic Kernel, Azure AI Foundry.
- Compute & Runtime: Azure Kubernetes Service (AKS), Docker, Azure Functions.
- Data & Memory: Databricks (Unity Catalog), Vector Databases (Qdrant/Pinecone), Redis.
- Languages: Python (Expert), TypeScript (Proficient).
- Standards: Model Context Protocol (MCP), OpenTelemetry.

📌 -Agentic Systems Architect (Telangana)
🏢 Basf
📍 Telangana