Remote Enterprise AI Engineer

Navitus; Boston (MA); Remote; USD 180,000 - 240,000; Full time

Benefits offered by this job

Health insurance

PTO

Parental leave

Job summary

Navitus Health Solutions is seeking an Engineer, Enterprise AI to design, build, and operationalize AI capabilities at scale. You will translate enterprise AI architecture into production-ready solutions, working with architecture, platform, data, and product teams to deliver AI services that power generative AI, ML, and agentic workflows.

The role emphasizes secure, compliant AI implementations aligned with governance standards, enabling teams to leverage AI responsibly to drive business value.

Qualifications

• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Information Systems, or related field, or equivalent work experience, required.
• 6-8 years of experience in software development, platform engineering, or ML engineering, including 2-4 years delivering AI/ML in production, required.
• Experience building or supporting AI-enabled applications and data pipelines in cloud or distributed systems, required.
• Experience implementing AI integration patterns with enterprise apps, APIs, data platforms, and cloud services, required.
• Experience developing generative and agentic AI workflows, including orchestration frameworks and human-in-the-loop patterns, required.
• Experience implementing AI operational practices (MLOps/LLMOps) with deployment pipelines, monitoring, lifecycle management, and governance, required.
• Experience collaborating with architecture, engineering, data, and product teams to design scalable AI-enabled solutions, required.
• Strong programming experience in Python, C#, or similar backend languages used for AI services and integrations, required.

Responsibilities

• Design, build, and maintain enterprise AI solutions and services for scalable generative AI, ML, and agentic AI.
• Implement AI architecture patterns and standards defined by the Enterprise AI Architect into production-ready solutions.
• Develop AI integration patterns connecting AI capabilities with enterprise apps, APIs, data platforms, and cloud services.
• Build AI-enabled services including model interfaces, orchestration, agent frameworks, and reusable tooling for enterprise teams.
• Support Agentic AI workflows, including orchestration, tool integration, context management, and human-in-the-loop capabilities.
• Implement AI operations (MLOps/LLMOps) with model deployment pipelines, monitoring, observability, and lifecycle management.
• Ensure AI solutions align with governance and regulatory requirements, including data privacy and model transparency.
• Collaborate with Platform and Data Engineering to deploy, scale, and maintain AI infrastructure and tooling.
• Other duties as assigned.

Skills

Python

C#

Backend development

MLOps

AI platform engineering

Cloud services

Interviewing users

Education

Bachelor’s degree in Computer Science / AI / Data Science / Software Engineering

Equivalent work experience

Tools

AWS Certified Solutions Architect – Associate

AWS Machine Learning – Specialty

MLOps certification

Job description

Navitus Health Solutions is seeking an Engineer, Enterprise AI to design, build, and operationalize AI capabilities at scale. You will translate enterprise AI architecture into production-ready solutions, working with architecture, platform, data, and product teams to deliver AI services that power generative AI, ML, and agentic workflows.

The role emphasizes secure, compliant AI implementations aligned with governance standards, enabling teams to leverage AI responsibly to drive business value.