AI Systems Manager
$55 per hourTemporary
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
- 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 GCP
- 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
- 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
Vacancy posted 9 days ago
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