AI Systems Manager

RESPONSIBILITIES

Kforce has a client that is seeking an AI Systems Manager in Temple Terrace, FL.

Summary

We are seeking an innovative AI Systems Engineer to lead the design, implementation, and adoption of AI-driven solutions that improve business operations, analytics, and decision-making. This individual will bridge AI technology, software development, systems integration, and business strategy while helping identify opportunities where AI can create measurable value across the organization.

Key Responsibilities

• Design, develop, and implement AI-powered applications, automations, and business solutions
• Evaluate and recommend AI tools, platforms, and technologies to support organizational goals
• Integrate AI solutions with enterprise systems, data lakes, data warehouses, and reporting platforms
• Build dashboards, analytics, and visualizations that provide actionable business insights
• Develop scalable integrations and workflows using APIs and modern cloud technologies
• Partner with business stakeholders to identify opportunities for automation, efficiency, and innovation
• Collaborate with developers and technical teams to deploy and support AI-enabled solutions
• Ensure AI systems meet security, governance, and compliance requirements
• Document architecture, processes, and best practices associated with AI initiatives

REQUIREMENTS:

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent experience)
• 3+ years of experience in software engineering, systems engineering, AI, automation, or related technical roles
• Experience with AI platforms, large language models (LLMs), and API integrations
• Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform
• Strong understanding of data architecture, analytics, dashboards, and reporting solutions
• Proficiency in Python or similar programming languages
• Ability to translate business requirements into practical technical solutions

Preferred Qualifications

• Experience deploying AI solutions in production environments
• Experience with MLOps, CI/CD pipelines, Docker, and Kubernetes
• Prior leadership or people management experience
• Background in data engineering, database management, or analytics

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions. Kforce is an Equal Opportunity/Affirmative Action Employer.

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