Engineer, Enterprise AI
Company
Navitus About Us
Navitus - Putting People First in Pharmacy - Navitus was founded as an alternative to traditional pharmacy benefit manager (PBM) models. We are committed to removing cost from the drug supply chain to make medications more affordable for the people who need them. At Navitus, our team members work in an environment that celebrates diversity, fosters creativity and encourages growth. We welcome new ideas and share a passion for excellent service to our customers and each other.. Current associates must use SSO login option at to be considered for internal opportunities. We are committed to providing equal employment opportunity to all applicants and employees and comply with all applicable nondiscrimination regulations, including those related to protected veterans and individuals with disabilities. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, or handicap. Pay Range
USD $105,271.00 - USD $150,000.00 /Yr. STAR Bonus % (At Risk Maximum)
5.00 - Salaried Non-Management except pharmacists Work Schedule Description (e.g. M-F 8am to 5pm)
M-F: 8:00 am – 5:00 pm Remote Work Notification
ATTENTION: Navitus is unable to offer remote work to residents of Alaska, Hawaii, Maine, Mississippi, New Hampshire, New Mexico, North Dakota, Rhode Island, South Carolina, South Dakota, West Virginia, and Wyoming. Overview
Due to growth, we are adding a Engineer, Enterprise AI to our team!
The Engineer, Enterprise AI is responsible for designing, building, and operationalizing enterprise AI capabilities that enable the scalable adoption of Artificial Intelligence and Agentic AI across the organization. Working closely with the Enterprise AI Architect, this role translates enterprise AI architecture, patterns, and governance standards into implementable solutions and reusable technical components while partnering with Enterprise Architecture, Platform Engineering, Data Engineering, and Product teams to develop AI services, integrations, and operational frameworks that support generative AI, machine learning, and agentic workflows. The Engineer ensure AI solutions are implemented in alignment with enterprise architecture standards, security requirements, and regulatory compliance while enabling teams across the organization to safely and effectively leverage AI technologies to deliver business value.
Is this you? Find out more below!
Responsibilities
How do I make an impact on my team?
- 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.
Qualifications
What our team expects fro