GDB/X - Agentic AI Architect (m/f/d)

Agentic AI Architect 
OrgCode: GDB/X 
Product Team: Intelligent Automation 
Responsibilities: - Architect the Agent Backbone: Define and maintain the enterprise reference architecture 
for autonomous agents, ensuring seamless interoperability between managed services 
(Azure AI Foundry) and custom open-source runtimes on AKS. - Define Agentic Standards: 
Own the technical standards for the ecosystem, including the Model Context Protocol 
(MCP) for tool interoperability and the Agent-to-Agent (A2A) communication protocol. - 
Design the Orchestration Layer: Lead the architectural design of our central semantic 
router hosted on AKS, that interprets user intent and orchestrates workflows across 
distributed, cross-platform agents. - Enable Hybrid Innovation: Create "Golden Path" 
blueprints that leverage Databricks (Unity Catalog) for massive-scale data context while 
utilizing AKS to host complex, stateful agent swarms using frameworks like LangGraph or 
AutoGen. - Drive Co-Creation & Governance: Partner with other platform teams (SAP, 
Salesforce) to co-architect complex cross-domain workflows (Tier 3-4) and serve as the 
primary technical authority for validating high-risk agent deployments. - Ensure Zero-Trust 
Security: Embed security-by-design principles into our agent frameworks, ensuring every 
agent action is authenticated, authorized, and auditable within our Guardrail Engine. 
Qualifications: - 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 can 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.