Remote Enterprise AI Engineer - GenAI & MLOps Leader

Navitus; Trenton (NJ); Remote; USD 140,000 - 200,000; Full time

Benefits offered by this job

Health insurance

Dental/Vision

20 days PTO

4 weeks parental leave

401K match

Adoption Assistance

Flexible Spending Account

Educational Assistance Plan

Referral Bonus Program

Job summary

Navitus is seeking an Engineer, Enterprise AI to design, build, and operationalize enterprise AI capabilities that enable scalable AI adoption across the organization. You will translate architecture into production-ready solutions while partnering with Architecture, Platform, Data, and Product teams to develop AI services and workflows.

You will implement MLOps, governance, and security standards for generative and agentic AI, ensuring regulatory compliance and safe AI delivery that drives

Qualifications

• Bachelor’s degree in Computer Science, AI, Data Science, Software Engineering, or related field, or equivalent.
• AWS/Azure/GCP cloud exposure and ML/AI tooling experience.
• 6–8 years of software development or ML engineering with hands-on AI/ML deployment.

Responsibilities

• Design, build, and maintain enterprise AI solutions and services that enable scalable AI across the organization.
• Implement enterprise AI architecture patterns and standards.
• Develop AI integration patterns with enterprise apps, APIs, data platforms, and cloud services.
• Support AI platform development with Platform/Data Eng teams.

Skills

Python

C#

AI/ML

Cloud AWS

MLOps

APIs

Data pipelines

Education

Bachelor's degree in Computer Science or related field

Tools

AWS

Kubernetes

Docker

APIs development

Job description

Navitus is seeking an Engineer, Enterprise AI to design, build, and operationalize enterprise AI capabilities that enable scalable AI adoption across the organization. You will translate architecture into production-ready solutions while partnering with Architecture, Platform, Data, and Product teams to develop AI services and workflows.

You will implement MLOps, governance, and security standards for generative and agentic AI, ensuring regulatory compliance and safe AI delivery that drives