Director of Agentic AI Platform at Analog Devices

About Analog Devices

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.

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.

Ideal Experience

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.

Personal Attributes

Systems thinker who moves fluidly between architecture and code.
Builder mentality: pragmatic, delivery-focused, and allergic to unnecessary complexity.
Strong orientation toward reuse, safety, and clarity — builds frameworks, not one-offs.
Passionate about enabling others to build — treats internal users as customers.
Energized by ambiguity; comfortable defining a new category of infrastructure.

Why This Role Matters

The Director will define how ADI operationalizes AI across the enterprise.

Their work establishes the foundation on which every intelligent copilot, reasoning model, and edge-to-cloud agent will run. This is not a support function — it’s the core enabler of the company’s agentic future.

For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process.

Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.

EEO is the Law: Notice of Applicant Rights Under the Law.

Job Req Type: Experienced

Required Travel: Yes, 10% of the time

Shift Type: 1st Shift/Days

The expected wage range for a new hire into this position is $200,962 to $301,444.

Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors.
This position qualifies for a discretionary performance-based bonus which is based on personal and company factors.
This position includes medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time, and other benefits.