Principal Engineer, AI Enablement

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 $12 billion in FY22 and approximately 25,000 people globally working alongside 125,000 global customers, ADI ensures today’s innovators stay Ahead of What’s Possible.

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 $12 billion in FY22 and approximately 25,000 people globally working alongside 125,000 global customers, ADI ensures today’s innovators stay Ahead of What’s Possible.

ADI's Enterprise AI organization is seeking a passionate engineering leader for our AI Enablement Team. The chosen candidate will play a very broad role in defining and realizing AI-enabled solutions across the entire ADI enterprise, including Engineering, Manufacturing, Sales and Marketing, as well as our horizontal support organizations such as Legal, Finance and HR.

Responsibilities

• Lead enterprise level engagement to identify key partners, understand opportunities to capture value, bring solutions to the stakeholders and drive continuous improvement
• Be able to lead multiple, rapid engagements across the enterprise with a clear focus on solution and self-serve model
• Work with partners such as central engineering, data and IT functions to be the force multiplier
• Work closely with vendor partners to understand and influence their roadmap, and be the enabler of strategic AI-driven solutions across the enterprise
• Make key hires and grow team and talent
   

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Qualifications

• Masters degree in Computer Science or related field
• 10+ years of technical experience, including 5+ years in cloud infrastructure such as Azure or AWS
• Strong track record of working in an enterprise scale managing stakeholder relationships at a technical level
• Domain expertise of 5+ years in at least one of the areas: Silicon engineering, Semiconductor supply-chain, Finance P&A, Digital Go to Market strategy
• Hands-on experience with Machine Learning and Data Science, with strong familiarity of industry standards including Python, Tensorflow, Pytorch, Pandas, MLFlow, SQL
• Hands-on experience with tools such as Kubernetes, Artifactory as well as GenAI specific tools such as Langchain, LlamaIndex, and python environments such as pip or poetry
• Strong track record of strategic decision making and problem solving skills
• Three or more years in a leadership and people management role

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.

Job Req Type: Experienced

Required Travel: Yes, 10% of the time

Shift Type: 1st Shift/Days