Staff Data Engineer, AI Engineering

Why Hershey: At The Hershey Company, our culture is rooted in purpose and inspired by Milton Hershey’s enduring vision that business should create opportunity for others. Through our commitment to corporate philanthropy, we create positive impact by supporting communities, helping children thrive, and operating as a business for good. This includes our deep and long standing partnership with Milton Hershey School, where we invest in education, workforce readiness, and hands on engagement to help students succeed beyond the classroom. Supported by strategic grantmaking, product donations, cross brand collaboration, and strong employee volunteerism, Hershey offers a place to work where making a difference—locally and globally—is part of how we do business every day. About The Hershey Company

The Hershey Company is an industry-leading snacks company known for making more moments of goodness through its iconic brands. With a strong portfolio across chocolate, confectionery, and salty snacks, Hershey delights consumers every day. Our beloved brands include Hershey’s, Reese’s, KitKat®, Dots Pretzels, Lesser Evil, Jolly Rancher, Twizzlers, Ice Breakers, and more.     At Hershey, we are committed to making a meaningful difference in the communities where we live, work, and do business. This commitment originated with our founder, Milton Hershey, and continues to shape who we are today.   Guided by our employee value proposition, Lead Today. Create Tomorrow , we empower our people to drive impact now while shaping what comes next. Our One Hershey mindset brings teams together across functions, geographies, and businesses, enabling us to operate with speed, collaboration, and shared purpose.   The Hershey Company is proud to be recognized as a top employer in the United States, reflecting our commitment to our people, culture, and purpose. How will you fit in the big picture?

The Staff Data Engineer is a critical member of Hershey's Enterprise Data & Analytics organization, responsible for delivering a seamless, governed, and scalable AI platform experience across the enterprise. This role bridges AI engineering, platform engineering, and product thinking to ensure AI and data tools are easy to discover, adopt, and operationalize.   You will own the lifecycle of AI platforms including Databricks, Azure ML, and complementary technologies by evaluating new capabilities, implementing governance controls, enabling self-service access, and continuously optimizing the user experience. Working closely with data scientists, AI engineers, software developers, security teams, and data governance leaders, you will help accelerate AI adoption across manufacturing, supply chain, quality, and commercial use cases while ensuring compliance, security, and cost efficiency.   This position is ideal for candidates with backgrounds in AI engineering, platform engineering, MLOps, DevOps, SRE, or data engineering who are passionate about building platforms that empower others to innovate. What will you do?

Own and evolve the AI platform roadmap across Databricks, Azure ML, and related technologies, prioritizing enhancements based on business needs, adoption metrics, and user feedback. Pilot, evaluate, and operationalize new AI platform capabilities, making recommendations on enterprise adoption and standardization. Build and maintain governed, scalable AI infrastructure including compute environments, deployment pipelines, monitoring solutions, feature stores, and AI services. Design and implement "paved road" solutions that provide secure, compliant, and repeatable workflows for AI and machine learning development. Embed AI Trust, Risk, and Security Management (AI TRiSM) practices into platform processes, including monitoring, auditability, access controls, and model governance. Develop self-service experiences that enable teams to discover approved models, datasets, templates, tools, and AI