ON Semiconductor

AI Solutions Engineer

ON Semiconductor$130K — $155K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Master's or PhD in Computer Science, Data Science, Statistics, or related field.
  • 7-10 years of experience in AI/data science.
  • Proven experience deploying AI/ML solutions in production environments.
  • Strong knowledge of cloud platforms (Azure preferred), MLOps, and data governance.
  • Excellent communication and stakeholder management skills.

Responsibilities

  • Assist decisions across the full AI/ML stack, from foundational infrastructure to advanced orchestration frameworks.
  • Deliver data science projects from ideation to production, ensuring alignment with business goals.
  • Ensure compliance with Responsible AI Use and Governance Policies, including data privacy.
  • Partner with cross-functional teams for end-to-end project delivery and execution.
  • Build and optimize Retrieval-Augmented Generation (RAG) architectures leveraging enterprise knowledge sources.
  • Develop integrations with enterprise applications through APIs and middleware platforms.
  • Establish monitoring frameworks to track model performance and business value realization.

Benefits

  • Collaborative work environment with mentorship opportunities.
  • Exposure to cutting-edge AI/ML technologies and practices.
  • Impactful projects that drive business value across multiple functions.
  • Ability to shape and influence AI governance policies within the organization.
Full Job Description
Job Description

We are seeking for Staff AI Solutions Engineer to help deliver scalable AI/ML solutions across multiple business functions in onsemi. This role will be responsible for building AI/ML solutions and ensuring responsible AI governance in alignment with onsemi's policies. You will report to the Sr. AI & Data Science Manager and collaborate to execute, mentor and accelerate AI/ML project delivery to drive business value.

We're looking for a hands-on experienced engineer who can lead technical execution and mentor junior engineers. As a player-coach, you'll be deeply involved in the technical details-guiding architectural decisions, ensuring AI safety, and shaping workflows using tools like LangGraph, Azure Machine Learning, Azure AI Foundry and MLflow. Your expertise in building scalable GenAI solutions and driving AI adoption will be instrumental n driving innovation.

Responsibilities

  • Assist decisions spanning the full AI/ML stack-from foundational infrastructure like model registries, CI/CD pipelines, and feature stores, to advanced orchestration and observability frameworks for LLMs using tools such as LangGraph, MLflow, Azure ML etc,
  • Deliver data science project, from ideation to production, ensuring alignment with business goals and technical feasibility.
  • Ensure compliance with onsemi's Responsible AI Use and Governance Policies, including data privacy, model transparency, and ethical use.
  • Partner with Infrastructure, Security, data engineering, and business teams to ensure end to end project delivery & execution.
  • Build and optimize Retrieval-Augmented Generation (RAG) architectures leveraging enterprise knowledge sources, vector databases, and search technologies to improve response accuracy and relevance.
  • Develop integrations with enterprise applications such as SAP, Salesforce, ServiceNow, SharePoint, Microsoft 365, and custom business systems through APIs and middleware platforms.
  • Establish monitoring, evaluation, and observability frameworks to track model performance, response quality, hallucinations, latency, user adoption, and business value realization.
  • Perform prompt engineering, workflow orchestration, model fine-tuning, and AI solution optimization to enhance effectiveness, user experience, and cost efficiency.
  • Deploy AI solutions on Azure cloud and establish reusable design patterns.


Qualifications

Requirements:

  • Master's or PhD in Computer Science, Data Science, Statistics, or a related field.
  • 7-10 years of experience in AI/data science.
  • Proven experience deploying AI/ML solutions in production environments.
  • Strong knowledge of cloud platforms (Azure preferred), MLOps, and data governance.
  • Excellent communication and stakeholder management skills.
  • Experience in semiconductor, manufacturing, or industrial domains is a plus.

Preferred Knowledge and Experience:

  • Semiconductor industry experience.
  • Experience with tools like LangGraph, Azure ML, and Snowflake.
  • Understanding of AI security and compliance frameworks.

Competencies:

  • Self-motivated, able to multitask, prioritize, and manage time efficiently
  • Strong problem-solving skills
  • Data analysis skills. Ability to analyze complex data and turn it into actionable information
  • Collaboration and teamwork across multiple functions and stakeholders around the globe
  • Flexibility and adaptability
  • Drive for results, Able to work under pressure and meet deadlines


About ON Semiconductor

The Farichild Semiconductor founders was called "Traitorous eight". - Robert Noyce (Intel Founder) - Gordon Moore (Intel Founder) - Eugene Kleiner (KPCB Founder) - Jay Last - Victor Grinich - Sheldon Roberts - Julius Blank - Jean Hoerni

ON Semiconductor Careers

Join the dynamic team at ON Semiconductor, a premier global provider of high-performance silicon solutions for energy-efficient electronics. This is an unparalleled opportunity to advance your career with a company at the forefront of technological innovation, environmental sustainability, and progressive employment practices.

Work You’ll Do

At ON Semiconductor, you will be part of a culture that thrives on diversity, innovation, and leadership. Our company is committed to nurturing talent and encouraging growth through comprehensive professional development and diversity training. As a member of our team, you will contribute to projects that shape the future of technology, working alongside over 30,000 dedicated professionals worldwide.

Explore Job Opportunities

Whether you're a seasoned professional looking for your next challenge or a recent graduate eager to put your degree to work, ON Semiconductor offers a range of career paths. Our job opportunities span from engineering to marketing, each position offering a chance to innovate and lead in your field.

Internship Programs

Kickstart your career with an ON Semiconductor internship. Our internships provide invaluable hands-on experience, networking opportunities, and insights into our day-to-day operations. You’ll work closely with experienced professionals and gain the skills necessary to excel in the semiconductor industry.

Professional Growth and Benefits

ON Semiconductor is deeply invested in the professional growth of its employees. We offer robust training programs, leadership development opportunities, and a supportive network to help you reach your career goals. Our benefits package is designed to support the diverse needs of our workforce, including health, wellness, and continuous learning.

Join Our Team

We are hiring! Search open positions that match your skills and interests on our Careers page. We look for passionate, curious, creative, and solution-driven team players. Prepare your resume, sharpen your interview skills, and get ready to make a significant impact at ON Semiconductor.

Stay Connected

Keep up to date with the latest at ON Semiconductor by reading our Careers Blog. Here, you’ll find career tips, insider perspectives, and industry-leading insights you can put to use today—all from the people who work here.

Job Alert Emails

Personalize your subscription to receive job alerts, latest news, and insider tips tailored to your preferences. Discover the exciting and rewarding opportunities that await at ON Semiconductor. Join ON Semiconductor today and be part of a team that values innovation, leadership, and a commitment to diversity and professional growth. Explore how you can contribute to our mission of creating a smarter, greener, more connected world.
Learn more about ON Semiconductor
Size
30,000 employees
Market Cap
$26.4 billion
Industry
Net Income
$234.2 million
Founded
1999
5 Year Trend
+11.5%
Revenue
$5.2 billion
NASDAQ

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