Principal Solutions Architect - AI & Data Science

Perdue Foods has a goal of becoming the most trusted name in premium proteins by creating products for consumers and for retail and food service customers around the globe while changing the way animals are raised for food. It is part of Perdue Farms, a fourth-generation, family-owned food and agricultural business deeply rooted in tradition yet with a forward-thinking mindset. We believe that success starts with our people, and our culture is built on a foundation of teamwork, integrity, and respect, where every voice matters and everyone is encouraged to contribute to our shared goals.

We are dedicated to creating a supportive, inclusive environment where associates feel valued and inspired to make an impact, both within the company and in the communities we serve. From promoting growth and development to prioritizing work-life balance, we’re committed to helping our team members thrive.
That's Perdue.

The Principal Solution Architect’s responsibilities include gathering requirements and functional specifications, assessing the current software systems in place to identify areas in need of improvement, and overseeing development teams for Enterprise wide Technology projects. The ideal candidate will have a strong background in data science, software engineering, and cloud technologies, with a proven track record of architecting scalable and robust AI/ML systems.

You should also be able to regularly update the company leadership on any developments in systems architecture projects. To be successful as a solution architect, you should be able to integrate any updated specifications and requirements into the systems architecture across multiple domains or subject areas.

The salary range for this position is $143,000 - $215,000 per year, based on experience and qualifications with annual bonus available (variable depending on performance).

In addition to the base salary, Perdue offers a competitive benefits package, including medical/Rx, 401(k) with employer match after 1 year, critical illness, accident insurance, dental, vision, life insurance, optional group life insurance, short-term and long-term disability protection, flexible spending accounts and paid time off.

This position is based at Corporate Headquarters in Salisbury, MD.

• Design end-to-end AI/ML architectures, including data pipelines, model training, deployment, and monitoring frameworks.
• Ensure the perspectives of Dev Ops/MLOps, Dev Sec Ops , Fin Ops, and Governance are addressed.
• Leverage existing infrastructure wherever possible (Snowflake / Dataiku / Power BI / Azure).
• Collaborate with data scientists, engineers, and business stakeholders to define project requirements and deliverables.
• Evaluate and select appropriate AI/ML frameworks, tools, and platforms based on project needs.
• Ensure scalability, reliability, and security of AI/ML solutions in production environments.
• Oversee the integration of AI/ML models into existing products and services.
• Building and integrating information systems to meet the company’s needs across multiple domains or subject areas. Assessing the systems architecture currently in place and working with multiple technical staff to recommend solutions to improve it. Resolving complex technical problems as they arise.
• Providing supervision and guidance to multiple development teams. Providing input on scope and representing business-driven AI and Analytic interests with counterparts in IT
• Continually researching current and emerging technologies and proposing changes where needed.
• Informing various stakeholders about any problems with the current technical solutions being implemented.
• Assessing the business impact that certain technical choices have.
• Providing updates to stakeholders on product development processes, and design
• Working with multiple Project teams to construct logical and physical designs that stay true to enterprise Reference model and define technical model for AI and Analytics. Drive future state vision for Perdue

• Bachelor’s degree in information technology, SW engineering, computer science, or related field.