Senior Enterprise AI Architect — Platform & Governance (Remote)

Navitus; Tallahassee (FL); Remote; USD 180.000 - 240.000; Vollzeit

Benefits dieser Stelle

Health Insurance

PTO

Parental Leave

Holidays

401K match

Adoption Assistance

FSA

Education Assistance

Referral Bonus Program

Zusammenfassung

Navitus Health Solutions is seeking an Architect, Enterprise AI to design and govern the organization’s AI architecture. You will partner with Enterprise Architecture, Platform Engineering, Data Engineering, and Product teams to define scalable AI patterns, reference architectures, and governance frameworks.

The role focuses on responsible AI, security, regulatory compliance, and cost-aware operations, including LLM/agentic workflows, MLOps, and integration across cloud services to enable

Qualifikationen

• Bachelor’s degree or equivalent work experience in a related field.
• 10+ years of software development or architecture experience, with at least 5 years in AI/ML.
• Experience defining enterprise AI architecture patterns and AI-enabled application design.

Aufgaben

• Define and maintain the enterprise AI architecture strategy with scalable reference architectures.
• Develop AI governance frameworks and guardrails for secure, compliant AI use.
• Define AI platform strategy and evaluate providers and tooling.
• Establish AI integration patterns across enterprise platforms and cloud services.
• Lead AI operations practices (MLOps/LLMOps) and monitor lifecycle management.

Kenntnisse

C#

React

Python

Ausbildung

Bachelor’s degree in Computer Science, Information Systems, Software Engineering, or related field

Tools

AWS

Jobbeschreibung

Navitus Health Solutions is seeking an Architect, Enterprise AI to design and govern the organization’s AI architecture. You will partner with Enterprise Architecture, Platform Engineering, Data Engineering, and Product teams to define scalable AI patterns, reference architectures, and governance frameworks.

The role focuses on responsible AI, security, regulatory compliance, and cost-aware operations, including LLM/agentic workflows, MLOps, and integration across cloud services to enable