Rich’s, also known as Rich Products Corporation, is a family-owned food company dedicated to inspiring possibilities. From cakes and icings to pizza, appetizers and specialty toppings, our products are used in homes, restaurants and bakeries around the world. Beyond great food, our customers also gain insights to help them stay competitive, no matter their size. Our portfolio includes creative solutions geared at helping food industry professionals compete in foodservice, retail, in-store bakery, deli, and prepared foods, among others. With more than 13,500 associates working globally in 100 countries and annual sales of $5.9 billion, Rich’s is a global leader with a focus on everything that family makes possible. Rich’s®—Infinite Possibilities. One Family.
Job Summary
The Senior AI Engineer is responsible for designing, developing, and deploying complex AI based software solutions built on advanced platforms, such as Palantir Foundry. They collaborate with stakeholders to understand business requirements and translate them into technical solutions. The SeniorAI Engineer is also responsible for ensuring the quality and performance of the applications, as well as staying up-to-date with emerging technologies and industry trends. We are happy to consider remote applicants for this role.
Key Accountabilities and Outcomes
• Design and develop software applications on advanced platforms, such as Palantir Foundry
• Participate in code reviews and provide feedback
• Integrate machine learning models into operational workflows
• Ensure alignment with enterprise architecture, security, and compliance standards
• Stay up-to-date with emerging trends and technologies in software development
• Develop data pipelines, ontologies, and operational decision-support applications
• Collaborate with cross-functional teams to identify and solve complex problems
Knowledge, Experience and Skills
- Bachelor's Degree in Computer Science, Data Science, Statistics or related field
- 5-7 years software engineering experience, including AI/ML systems
- Significant hands-on experience with Palantir Foundry (Code Repositories, Contour, Workshop, Ontology, etc.)
- Expertise in Python, distributed computing, data engineering, and model deployment
- Experience with web development frameworks such as Angular or React
- Strong understanding of ML lifecycle, CI/CD, DevOps, and MLOps
- Proven experience designing and developing scalable and high-performance applications
- Deep problem-solving and systems thinking skills
- Strong communication and stakeholder engagement skills
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COMPENSATION
In accordance with state law, the rate or range provided is Rich Products Corporation, its subsidiaries and affiliates ("Rich's"), reasonable estimate of the base compensation for this role. The actual amount may be higher or lower, based on non-discriminatory factors such as experience, knowledge, skills, abilities, shift differential, and location.
Annual Range/Hourly Rate
$135,932.00 - $183,908.00
Rich Products Corporation, its subsidiaries and affiliates (“Rich’s”), are committed to a policy of Equal Employment Opportunity, standing up for fairness and maintaining a culture of belonging, to provide an exceptional experience for all. We will not discriminate against an applicant or employee on the basis of race, color, religion, sex, national origin, disability, military or veteran status, or any other Federal or State legally protected classes. The information collected by this application is solely to determine suitability for employment, verify identity, and maintain employment statistics on applicants.
Applicants with disabilities may be entitled to reasonable accommodation under the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Rich’s. Please contact Rich’s Associate Experience Network at hrhelp@rich.com if you need assistance completing this application or to otherwise participate in the application process.
