Principal Forward Deployed Engineer, Enterprise AI Productivity
Analog Devices · US, TX, Dallas, Tollway ·
- Seniority
- Principal
- Employment
- Full time
- Category
- Solutions engineering
- Experience
- 10+ years
Analog Devices · US, TX, Dallas, Tollway ·
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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.
Experience developing AI copilots, assistants, workflow automation, and productivity solutions that drive measurable business outcomes.
Experience establishing evaluation frameworks, observability, experimentation, and performance metrics for AI systems.
Ability to rapidly prototype solutions, validate business value, and scale successful pilots into production-grade platforms.
Experience working directly with business stakeholders to translate ambiguous challenges into technical solutions and strategic roadmaps.
Strong communication, storytelling, and executive presentation skills.
Preferred Qualifications
Experience with multi-agent systems, agent orchestration, MCP-based integrations, knowledge graphs, and enterprise search.
Hands-on experience with modern AI platforms and cloud ecosystems including Microsoft CoPilot Studio, AWS Bedrock and vector database technologies.
Experience building reusable platform capabilities, SDKs, shared services, and architectural patterns that accelerate enterprise-wide adoption.
Knowledge of Responsible AI, AI governance, security, and compliance requirements.
Experience with product analytics, telemetry, experimentation, and AI observability platforms.
Background spanning multiple engineering disciplines including software, data, AI/ML, cloud infrastructure, and platform engineering.
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: ExperiencedRequired Travel: NoShift Type: 1st Shift/DaysThe expected wage range for a new hire into this position is $200,000 to $275,000.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.
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