Director of Agentic AI Platform

Analog Devices, Inc.•Boston, MA

64d

About The Position

Analog Devices, Inc. (NASDAQ: ADI ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at www.analog.com and on LinkedIn and Twitter (X). Director of Agentic AI Platform Role Summary We are building the core platform that will power intelligent, autonomous agents across Analog Devices. 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. This role blends system architecture, platform engineering, and organizational leadership to create ADI's internal Agentic Operating System. Key Outcomes Deliver a secure, scalable, and reusable AI Agent Platform that enables multi-agent reasoning, data access, and orchestration. Build the founding platform engineering team (runtime, SDK, infra, observability) for code and no-code/low-code agentic workflow development. Define architectural standards for agents, model access, memory, and safety. Integrate foundation models (LLMs, multimodal, proprietary ADI models) with enterprise data and workflows. Partner with IT, Data, and Research teams to ensure compliance, portability, and performance. Establish the internal developer experience - SDKs, APIs, documentation, and testing frameworks.

Requirements

10+ years of experience in software or ML infrastructure, including 3+ years leading platform or systems teams.
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.
Track record of shipping enterprise-grade platforms or developer ecosystems.
Excellent collaboration and communication skills; able to interface with executives and researchers alike.

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.
Represent the platform in cross-functional reviews with Enterprise AI, IT Infrastructure, and Data leadership.