Remote Enterprise AI Engineer - GenAI & MLOps

Navitus; Nashville (TN); Remote; USD 120,000 - 170,000; Full time

Benefits offered by this job

Health Insurance

Dental & Vision Insurance

Paid Time Off 20 days

Parental Leave 4 weeks

401K match up to 5%

Adoption Assistance

Flexible Spending Account

Education Assistance & Professional D

Referral Bonus up to 750

Job summary

Navitus is seeking an Engineer, Enterprise AI to design, build, and operationalize enterprise AI capabilities that scale across the organization. You will translate architecture patterns into production-ready solutions and collaborate with Enterprise Architecture, Platform Engineering, Data Engineering, and Product teams.

You will advance generative AI, ML, and agentic workflows, implement MLOps/LLMOps pipelines, and ensure governance, security, and regulatory compliance across AI services.

Qualifications

• Bachelor’s degree in Computer Science, AI, Data Science, Software Engineering, Information Systems, or a related technical field, or equivalent work experience.
• 6-8 years of experience in software development, platform engineering, or machine learning engineering, including a minimum of 2-4 years of hands-on experience developing, integrating, or operationalizing AI/ML solutions in production environments.
• Experience building or supporting AI-enabled applications, data pipelines, model integrations, or AI platform components within cloud or distributed systems environments.
• Experience implementing AI integration patterns that connect AI capabilities with enterprise applications, APIs, data platforms, and cloud services.
• Experience developing or supporting generative AI and agentic AI workflows, including orchestration frameworks, tool integrations, context management, Model Context Protocol servers or similar context services, and human-in-the-loop patterns to support governed AI decision-making.
• Experience implementing or supporting AI operational practices (MLOps/LLMOps) including model deployment pipelines, monitoring, observability, lifecycle management, and operational controls.
• Experience working within enterprise architecture standards and development frameworks, ensuring solutions aligned with architectural guardrails, security requirements, and platform standards.
• Experience supporting AI governance and responsible AI practices, including data privacy, model transparency, auditability, and compliance with enterprise and regulatory standards.
• Experience collaborating with architecture, engineering, data, and product teams to design and implement scalable AI-enabled solutions.
• Experience developing and supporting cloud-based services, APIs, and distributed systems that enable scalable AI capabilities and enterprise platform integrations.
• Strong development experience in modern programming languages, including Python, C#, or similar backend languages used for AI services and integrations.
• Proven ability to interview end-users for insight on functionality, interface, problems, and/or usability issues.
• Knowledge of PBM systems, claims adjudication processes, and data exchange patterns between payers, providers, and pharmacies preferred.
• Participate in, adhere to, and support compliance program objectives.
• The ability to consistently interact cooperatively and respectfully with other employees.

Responsibilities

• Design, build, and maintain enterprise AI solutions and services that enable the scalable adoption of generative AI, machine learning, and agentic AI capabilities across the organization.
• Implement enterprise AI architecture patterns and technical standards defined by the Enterprise AI Architect, translating reference architectures and design patterns into production-ready solutions.
• 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 AI tooling for enterprise teams.
• 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 model deployment pipelines, monitoring, observability, lifecycle management, and operational controls.
• Ensure AI solutions align with enterprise AI governance, responsible AI standards, and regulatory requirements, including data privacy, auditability, and model transparency.
• Support AI platform development and enablement, working with Platform Engineering and Data Engineering teams to deploy, scale, and maintain enterprise AI infrastructure and tooling.
• Other duties as assigned.

Skills

Python

C#

AI/ML

Generative AI

MLOps

Governance

Cloud services

APIs

Enterprise AI

Security compliance

Education

Bachelor’s degree in Computer Science, AI, Data Science, Software Engineering, Information Systems, or related field, or equivalent experience

Tools

Python

C#

Job description

Navitus is seeking an Engineer, Enterprise AI to design, build, and operationalize enterprise AI capabilities that scale across the organization. You will translate architecture patterns into production-ready solutions and collaborate with Enterprise Architecture, Platform Engineering, Data Engineering, and Product teams.

You will advance generative AI, ML, and agentic workflows, implement MLOps/LLMOps pipelines, and ensure governance, security, and regulatory compliance across AI services.