Senior Enterprise AI Engineer - Remote, MLOps & Governance

Navitus; Salem (OR); Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health insurance

Paid time off

Parental leave

401K match

Educational assistance

Referral bonus

Job summary

Navitus Health Solutions is seeking an Engineer, Enterprise AI to design, build, and operationalize enterprise AI capabilities that scale across the organization. You will work with the Enterprise AI Architect and cross-functional teams to deliver AI services, integrations, and governance-aligned solutions.

The role emphasizes generative AI, machine learning, and agentic workflows, with focus on security, compliance, and platform enablement to deliver tangible business value.

Qualifications

• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Information Systems, or related field.
• 6-8 years of experience in software development, platform engineering, or ML engineering with 2-4 years hands-on AI in production.
• Experience building AI-enabled applications and data pipelines in cloud environments.
• Experience implementing AI integration patterns with enterprise applications, APIs, data platforms, and cloud services.
• Experience developing generative and agentic AI workflows, including orchestration and human-in-the-loop patterns.
• Experience implementing MLOps/LLMOps with deployment pipelines and monitoring.
• Strong programming in Python, C#, or similar backend languages.

Responsibilities

• Design, build, and maintain enterprise AI solutions and services that enable scalable adoption of generative AI, ML, and agentic AI.
• Implement enterprise AI architecture patterns and technical standards defined by the Enterprise AI Architect.
• Develop and support AI integration patterns that connect AI capabilities with enterprise applications, APIs, data platforms, and cloud services.
• Build and maintain AI-enabled services and components, including model interfaces, orchestration services, agent frameworks, and reusable tooling.
• Support the implementation of Agentic AI workflows, including orchestration, tool integration, context management, and human-in-the-loop capabilities.
• Implement and maintain AI operational capabilities (MLOps/LLMOps) including deployment pipelines, monitoring, observability, and lifecycle management.
• Ensure AI solutions align with governance, data privacy, auditability, and model transparency.
• Support AI platform development and enablement with Platform/Data Engineering teams to deploy and scale infrastructure.
• Other duties as assigned.

Skills

Python

C#

AI services

APIs integration

MLOps

LLMOps

Agentic AI

Cloud platforms

Data pipelines

Distributed systems

Education

Bachelor's degree in Computer Science or related field

AWS Certified Solutions Architect – Associate

MLOps or AI platform engineering certification

Job description

Navitus Health Solutions is seeking an Engineer, Enterprise AI to design, build, and operationalize enterprise AI capabilities that scale across the organization. You will work with the Enterprise AI Architect and cross-functional teams to deliver AI services, integrations, and governance-aligned solutions.

The role emphasizes generative AI, machine learning, and agentic workflows, with focus on security, compliance, and platform enablement to deliver tangible business value.