Enterprise AI Engineer - Remote & MLOps Focus

Navitus; Baton Rouge (LA); Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Health, Dental, Vision insurance

PTO 20 days

Paid parental leave

Holidays 9

401K match up to 5%

Adoption Assistance Program

Flexible Spending Account

Educational Assistance

Referral Bonus up to $750

Job summary

Navitus Health Solutions is seeking an Engineer, Enterprise AI to design, build, and operationalize AI capabilities that scale across the organization. You will translate enterprise architecture patterns into robust, production-ready AI services, while collaborating with Architecture, Platform, Data, and Product teams to enable generative AI, ML, and agentic workflows.

The role emphasizes governance, security, and compliance, with a focus on practical, scalable AI platform enablement across

Qualifications

• 6–8 years of software, platform, or ML engineering experience.
• Hands-on experience building or operationalizing AI/ML in production.
• Experience with AI integration patterns across enterprise apps and data platforms.
• Strong Python or C# backend development skills.

Responsibilities

• Design, build, and maintain enterprise AI solutions for scalable generative and agentic AI.
• Translate architecture patterns into production-ready solutions with governance.
• Develop AI integration patterns with enterprise apps, APIs, data platforms, and cloud services.
• Support MLOps/LLMOps, including deployment pipelines and monitoring.

Skills

Python

C#

AI services

Cloud APIs

MLOps

Education

Bachelor's degree in CS or related field

AI/ML certifications

Tools

AWS

Kubernetes

Git

Job description

Navitus Health Solutions is seeking an Engineer, Enterprise AI to design, build, and operationalize AI capabilities that scale across the organization. You will translate enterprise architecture patterns into robust, production-ready AI services, while collaborating with Architecture, Platform, Data, and Product teams to enable generative AI, ML, and agentic workflows.

The role emphasizes governance, security, and compliance, with a focus on practical, scalable AI platform enablement across