The Mosaic Company (NYSE: MOS) is the world’s leading integrated producer of concentrated phosphate and potash—two of the three most important nutrients in agriculture. We employ more than 13,000 people in six countries to serve farmers all over the world. Our Headquarters is in Lithia, Florida with operations throughout North America (U.S./Canada) and South America.

At Mosaic We Help the World Grow the Food it Needs - Apply today and join our team!

The AI Solution Analyst is a hands-on member of Mosaic's AI Office who helps turn high-value business problems into adopted, governed AI solutions with measurable business value across Operations, Supply Chain, Procurement, Commercial and Corporate functions. Working alongside data scientists, AI/ML engineers, product owners and business process owners, this role supports the delivery of generative AI, computer vision, machine learning and optimization solutions built on Mosaic's enterprise AI platform. The role guides technical execution and ensures high-quality delivery at the team level, combining hands-on development support with leadership in applying architectural standards, enforcing code quality, and promoting responsible AI and engineering best practices. 

What you’ll do?

Team-Level AI Solution Delivery

• Participate in the end-to-end delivery of AI solutions, from discovery and data readiness through prototype and production, collaborating with data scientists, AI engineers and developers to ensure alignment with architecture standards and business requirements.
• Help build, configure and test AI solutions, including generative AI agents, machine learning, computer vision and optimization models, on Mosaic's Microsoft Azure–based enterprise AI platform.
• Partner with data and analytics teams to prepare trusted, AI-ready data from enterprise systems and translate model outputs into business-ready insights.
• Apply established coding standards, design patterns, and responsible AI and security practices to deliver scalable, maintainable and secure solutions.
• Test, evaluate and troubleshoot AI solutions for quality, performance and cost; participate in code reviews, test automation and CI/CD practices, escalating blockers as needed.
• Help track adoption and business value of delivered AI products, document technical debt, and stay current on emerging AI capabilities while sharing knowledge with the team.
  

Agile Collaboration

• Participate in Agile ceremonies, including sprint planning, stand-ups, and retrospectives.
• Work closely with the Product Owner, Tech Leads, and Global Process Owners/business SMEs to understand requirements, map as-is and to-be workflows, define success criteria and KPIs, and ensure technical feasibility.
• Collaborate with IT partners (architecture, cybersecurity, infrastructure) and external technology partners (e.g., Microsoft) to support solution reviews, governance approvals and production readiness.

What you’ll need:

• An Associate's degree in Computer Science, Data Science, Engineering, Mathematics/Statistics, Business, Information Systems or related area 
• Bachelor's degree preferred
• 3+ years of experience working with information technologies and systems analysis. 
• For those candidates without a Bachelor's degree, 5+ years of related experience is required.  
• Strong knowledge of business processes, and how data and software applications support those processes. 

• Strong understanding and knowledge of the principles and practices associated with packaged and/or SaaS applications. 

• Hands-on exposure to AI/ML or generative AI solutions (e.g., prompt design, agents, retrieval-augmented generation or machine learning models) in a business setting. 

• Strong proficiency in estimation and planning. 
• Microsoft Azure AI, Azure Data Science or Microsoft Fabric certification (or equivalent) preferred
• Knowledge of agile methodologies and frameworks such as Kanban. 

• Exposure with agent frameworks and protocols preferred

• Exposure to computer vision, predictive modeling or mathematical optimization use cases preferred. 

• Experience in mining, manufacturing, supply chain or procurement environment preferred
• Strong verbal, written, listening and presentation communication skills. 

• Strong interpersonal and teamwork skills 
• Highly organized. 

• Ability to present and discuss technical information in a way that establishes rapport, persuades others, and gains understanding with technical and the business teams. 

• Strong organizational and planning skills as well as attention to detail. 

• Ability to effectively work and create effective partnerships with employees at all levels within the organization.  

• Ability to adapt to a continually changing business and work environment and manage multiple priorities 

• Demonstrated critical thinking and decision-making skills 

• Strong analysis and problem-solving skills 

• Ability to handle confidential and sensitive information. 

• Curiosity about AI and the ability to explain AI concepts, limitations and risks to non-technical audiences. 

• Understanding of responsible AI principles, data privacy and AI governance. 
• Proficient with Microsoft Office (Word, Excel, PowerPoint, Outlook), Visio and Project. 

• Specific technology as required by functional area (SAP, Workday, Salesforce, etc.). 

• Working knowledge of Python and SQL for data analysis and AI solution development. 

• Familiarity with Microsoft Copilot, Power BI, Microsoft Fabric and Azure DevOps. 
• Experience with AI-assisted development tools (e.g., GitHub Copilot) preferred.

• Experience deploying agents to Microsoft Teams and Microsoft 365 Copilot preferred.

• Experience with APIs and data integration with enterprise systems such as SAP preferred.
   

What's in it for you: 

• A competitive base salary + bonus incentives  
• 11 paid holidays each year 
• A generous 401k with a company match and annual company contribution
• Paid sick leave  
• Paid vacation time 
• A robust benefits package which includes Medical, Dental, and Vision insurance, life & disability  
• Tuition reimbursement
• Paid Paternity/Maternity Leave