Principal Forward Deployed Engineer, Enterprise AI Productivity

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, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at and on LinkedIn and X.

Role Overview

We are seeking a Principal Forward Deployed Engineer to partner directly with business organizations and accelerate the adoption of Enterprise AI across Analog Devices.

This role sits at the intersection of product strategy, AI engineering, and business transformation. You will work closely with stakeholders to discover high-value opportunities, rapidly prototype AI-driven solutions, and evolve successful pilots into scalable enterprise platforms.

Unlike traditional engineering roles, you will operate as both a technical leader and trusted advisor, embedding with business teams to understand workflows, uncover inefficiencies, and drive measurable productivity improvements through AI and agentic systems.

Key Responsibilities

• Partner directly with business leaders to identify productivity bottlenecks and growth opportunities.

• Lead discovery workshops and translate ambiguous business challenges into AI solution roadmaps.

• Design, prototype, and deploy Enterprise AI assistants, copilots, and agentic workflows.

• Build proof-of-concepts and rapidly validate business value.

• Collaborate with platform teams to productize successful solutions using shared enterprise platforms.

• Define evaluation frameworks, KPIs, and success metrics for AI initiatives.

• Guide stakeholders on AI adoption, operationalization, governance, and responsible AI practices.

• Drive reusable patterns across AI productivity, knowledge management, customer support, engineering effectiveness, and enterprise operations.

Required Qualifications

• 10+ years of engineering experience delivering complex software, data, and AI solutions in enterprise environments.

• Demonstrated experience designing, building, and deploying AI-enabled business solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), semantic search, and agentic workflows.

• Strong software engineering background spanning cloud-native architectures, APIs, microservices, distributed systems, data pipelines, and enterprise integrations.