AI Solutions Analyst

The Mosaic Company • Tampa, FL

5d

About The Position

The AI Solutions Analyst is a hands-on member of The Mosaic Company’s AI Office, helping turn high-value business problems into adopted, governed AI solutions with measurable business value across Operations, Supply Chain, Procurement, Commercial, and Corporate functions. The role works alongside data scientists, AI/ML engineers, product owners, and business process owners to support generative AI, computer vision, machine learning, and optimization solutions on Mosaic’s enterprise AI platform.

The analyst supports technical execution and high-quality delivery at the team level through hands-on solution development and by applying architectural standards, code quality expectations, and responsible AI and engineering practices. The role participates in delivery from discovery and data readiness through prototyping and production, collaborates with business and technical partners, and helps evaluate adoption and business value.

Requirements

• Associate’s degree in Computer Science, Data Science, Engineering, Mathematics/Statistics, Business, Information Systems, or a related area; a bachelor’s degree is preferred.
• At least 3 years of experience working with information technologies and systems analysis; candidates without a bachelor’s degree require at least 5 years of related experience.
• Strong knowledge of business processes and how data and software applications support those processes.
• Strong understanding of principles and practices associated with packaged and/or SaaS applications.
• Hands-on exposure to AI/ML or generative AI solutions in a business setting, such as prompt design, agents, retrieval-augmented generation, or machine learning models.
• Strong proficiency in estimation and planning.
• Knowledge of Agile methodologies and frameworks such as Kanban.
• Strong verbal, written, listening, and presentation communication skills.
• Strong interpersonal and teamwork skills; ability to build effective partnerships with employees at all organizational levels.
• Ability to present and discuss technical information in a way that establishes rapport, persuades others, and builds understanding with technical and business teams.
• Strong organizational, planning, and attention-to-detail skills; ability to adapt to a changing business and work environment and manage multiple priorities.
• Demonstrated critical-thinking and decision-making skills, as well as strong analysis and problem-solving skills.
• Ability to handle confidential and sensitive information.
• Curiosity about AI and ability to explain AI concepts, limitations, and risks to non-technical audiences.
• Understanding of responsible AI principles, data privacy, and AI governance.
• Proficiency with Microsoft Office (Word, Excel, PowerPoint, Outlook), Visio, and Project.
• Functional-area-specific technology experience as required, such as SAP, Workday, or Salesforce.
• Working knowledge of Python and SQL for data analysis and AI solution development.
• Familiarity with Microsoft Copilot, Power BI, Microsoft Fabric, and Azure DevOps.

Nice To Haves

• Bachelor’s degree.
• Microsoft Azure AI, Azure Data Science, or Microsoft Fabric certification, or equivalent.
• Exposure to agent frameworks and protocols.
• Exposure to computer vision, predictive modeling, or mathematical optimization use cases.
• Experience in a mining, manufacturing, supply chain, or procurement environment.
• Experience with AI-assisted development tools such as GitHub Copilot.
• Experience deploying agents to Microsoft Teams and Microsoft 365 Copilot.
• Experience with APIs and data integration with enterprise systems such as SAP.

Responsibilities

• Participate in end-to-end AI solution delivery, from discovery and data readiness through prototype and production, in alignment with architecture standards and business requirements.
• Help build, configure, and test generative AI agents, machine learning, computer vision, and optimization solutions 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 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 share knowledge about emerging AI capabilities with the team.
• Participate in Agile ceremonies, including sprint planning, stand-ups, and retrospectives.
• Work with the Product Owner, Tech Leads, and Global Process Owners/business SMEs to understand requirements, map current and future workflows, define success criteria and KPIs, and assess technical feasibility.
• Collaborate with IT partners, including architecture, cybersecurity, and infrastructure, and external technology partners such as Microsoft, to support solution reviews, governance approvals, and production readiness.

Benefits

• Competitive base salary and bonus incentives.
• 11 paid holidays each year.
• 401(k) with a company match and annual company contribution.
• Paid sick leave.
• Paid vacation time.
• Medical, dental, and vision insurance.
• Life and disability insurance.
• Tuition reimbursement.
• Paid paternity/maternity leave.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Associate degree