AI Solutions Engineer

About the role

We are seeking a hands-on Staff AI Solutions Engineer to deliver scalable AI/ML solutions across multiple business functions at onsemi. This role will build AI/ML solutions and ensure responsible AI governance in alignment with onsemi’s policies. You will report to the Sr. AI & Data Science Manager, collaborating to execute, mentor, and accelerate AI/ML project delivery to drive business value. As a player-coach, you’ll guide architectural decisions, ensure AI safety, and shape workflows using tools like LangGraph, Azure Machine Learning, Azure AI Foundry, and MLflow.

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, and Azure ML.
• Deliver data science projects 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 and 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.

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 Qualifications

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

Skills

• Self-motivated, able to multitask, prioritize, and manage time efficiently.
• Strong problem-solving skills and data analysis abilities.
• Collaboration and teamwork across multiple functions and global stakeholders.
• Flexibility, adaptability, and drive for results under pressure.

About onsemi

onsemi (Nasdaq: ON) is driving disruptive innovations to help build a better future. With a focus on automotive and industrial end-markets, the company accelerates change in megatrends such as vehicle electrification and safety, sustainable energy grids, industrial automation, and 5G and cloud infrastructure. onsemi creates intelligent power and sensing technologies that solve the world’s most complex challenges and leads the way in creating a safer, cleaner, and smarter world.