Analog Devices is building the core platform that will power intelligent, autonomous agents across the company. The Director will serve as the technical founder for this initiative — architecting and delivering the AI Agent Platform that connects reasoning models, enterprise data, and real-world action, creating ADI’s internal Agentic Operating System.
Requirements
- Deep expertise in distributed systems and cloud-native architectures (e..g. Kubernetes, microservices, service mesh).
- Working knowledge of LLM / agent frameworks (e.g. LangGraph, Semantic Kernel, Haystack, etc.) and ideally MCP server and related security aspects.
- Proficiency in Python and at least one systems language (e.g. Go or Rust).
- Experience with data plane technologies (e.g. Presto/Trino, Kafka, pgvector/Milvus).
- Familiarity with observability stacks (e.g. OpenTelemetry, Grafana, Prometheus).
- Prior exposure to secure ML deployment (identity, secrets, access control, auditability).
- Hands-on working knowledge of modern data stacks, including data products, data catalogs, semantic layer, lakehouse architectures etc.
Responsibilities
- Lead architecture and implementation of the Agent Runtime, Developer SDK, and Model Router (connecting Azure OpenAI, AWS Bedrock, Portkey, etc.).
- Design and operate a multi-cloud orchestration layer (Azure + AWS) using Kubernetes, Terraform, and open-source frameworks.
- Implement observability, cost, and safety layers (OpenTelemetry, audit trails, access controls).
- Oversee platform CI/CD, IaC, and release engineering; ensure reproducibility and compliance.
- Define policies for model evaluation, versioning, and controlled tool execution.
- Build and mentor a small, high-performing team of infra engineers, SDK developers, and data integrators.
- Partner with the Agentic Services team to gather feedback and drive platform evolution.
Other
- 10+ years of experience in software or ML infrastructure, including 3+ years leading platform or systems teams.
- Track record of shipping enterprise-grade platforms or developer ecosystems.
- Excellent collaboration and communication skills; able to interface with executives and researchers alike.
- Systems thinker who moves fluidly between architecture and code.
- Builder mentality: pragmatic, delivery-focused, and allergic to unnecessary complexity.
