Remote Enterprise AI Engineer — MLOps & Governance

Navitus; Lincoln (NE); Remote; USD 130,000 - 185,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Paid time off

Parental leave

Holidays

401K match

Adoption assistance

Flexible Spending Account

Educational assistance

Professional membership assistance

Referral bonus

Job summary

Navitus is seeking an Engineer, Enterprise AI to design, build, and operate enterprise AI capabilities that scale AI adoption across the organization. You will collaborate with AI Architects, Platform/Data/Product teams to deliver AI services, integrations, and governance-compliant solutions.

The role focuses on generative AI, ML, and agentic workflows with strong emphasis on security, compliance, and production readiness. A background in Python/C# and cloud environments is essential.

Qualifications

• Required: 6–8 years software development or ML engineering experience.
• Hands-on in production AI/ML solutions and data pipelines.
• Experience with generative AI and agentic AI workflows.
• Knowledge of enterprise architecture standards and guardrails.

Responsibilities

• Design, build, and maintain enterprise AI solutions and services.
• Translate architecture patterns into production-ready solutions.
• Develop AI integration patterns with enterprise apps and APIs.
• Build AI-enabled services and tooling for enterprise use.
• Support Agentic AI workflows and human-in-the-loop patterns.
• Implement MLOps/LLMOps pipelines and monitoring.
• Ensure governance, privacy, auditability, and compliance.

Skills

Interview end-users

Python

C#

AI services

Cloud-based architectures

Education

Bachelor’s degree in Computer Science or related field

Certification: AWS Solutions Architect – Associate

Certification: AWS ML – Specialty

MLOps / AI platform engineering cert

Responsible AI / AI ethics training

Tools

AWS

Job description

Navitus is seeking an Engineer, Enterprise AI to design, build, and operate enterprise AI capabilities that scale AI adoption across the organization. You will collaborate with AI Architects, Platform/Data/Product teams to deliver AI services, integrations, and governance-compliant solutions.

The role focuses on generative AI, ML, and agentic workflows with strong emphasis on security, compliance, and production readiness. A background in Python/C# and cloud environments is essential.