Engineer, Enterprise AI

🕒 August 6

🐻 Alaska, Hawaii, +11 more states – Remote

🐻 Alaska – Remote 🌺 Hawaii – Remote 🦞 Maine – Remote 🗻 New Hampshire – Remote 🌶️ New Mexico – Remote 🌾 North Dakota – Remote 🎸 Mississippi – Remote ⚓ Rhode Island – Remote 🌴 South Carolina – Remote 🗿 South Dakota – Remote ⚔️ Virginia – Remote ⛰️ West Virginia – Remote 🦬 Wyoming – Remote

💵 $105.3k - $150k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

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Navitus Health Solutions

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2003

💼 Consulting

🛡️ Insurance

🏥 Healthcare

Consulting • Insurance • Healthcare

Navitus Health Solutions is a pharmacy benefit manager (PBM) that provides transparent, people-centered pharmacy benefit solutions to health plans, employers, government programs and other plan sponsors. The company operates a 100% pass-through, cost-plus model that emphasizes lowering medication costs, managing formularies, specialty drug management (including a cost-plus specialty pharmacy), claims adjudication, pharmacy network management, and member enablement and support services. Navitus positions itself as a fiduciary partner focused on affordability, compliance, clinical quality and improving health outcomes through tailored PBM services and digital health integrations.

📋 Description

• Design, build, and maintain enterprise AI solutions and services for generative AI, machine learning, and agentic AI adoption • Implement enterprise AI architecture patterns and technical standards in production-ready solutions • Develop and support AI integrations with enterprise applications, APIs, data platforms, and cloud services • Build and maintain model interfaces, orchestration services, agent frameworks, and reusable AI tooling • Support Agentic AI workflows, including orchestration, tool integration, context management, and human-in-the-loop capabilities • Implement and maintain MLOps/LLMOps capabilities, including deployment pipelines, monitoring, observability, lifecycle management, and operational controls • Ensure alignment with AI governance, responsible AI standards, data privacy, auditability, model transparency, and regulatory requirements • Support AI platform development and enablement with Platform Engineering and Data Engineering teams • Perform other duties as assigned

🎯 Requirements

• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Information Systems, or related technical field, or equivalent work experience, required • 6–8 years of experience in software development, platform engineering, or machine learning engineering required • 2–4 years of hands-on experience developing, integrating, or operationalizing AI/ML solutions in production environments required • Experience building AI-enabled applications, data pipelines, model integrations, or AI platform components in cloud or distributed systems environments • Experience implementing AI integration patterns with enterprise applications, APIs, data platforms, and cloud services • Experience developing or supporting generative AI and agentic AI workflows, orchestration frameworks, tool integrations, context management, MCP servers or similar context services, and human-in-the-loop patterns • Experience implementing or supporting MLOps/LLMOps practices, including deployment pipelines, monitoring, observability, lifecycle management, and operational controls • Experience working within enterprise architecture standards and development frameworks • Experience supporting AI governance and responsible AI practices, including data privacy, model transparency, auditability, and regulatory compliance • Experience collaborating with architecture, engineering, data, and product teams • Experience developing and supporting cloud-based services, APIs, and distributed systems • Strong development experience in Python, C#, or similar backend languages • Ability to interview end-users regarding functionality, interfaces, problems, and usability issues • Ability to participate in and support compliance program objectives • Ability to interact cooperatively and respectfully with other employees • AWS Certified Solutions Architect – Associate, AWS Machine Learning – Specialty, or equivalent cloud-based AI/ML certification preferred • MLOps, AI platform engineering, or machine learning engineering certification preferred • Responsible AI, AI governance, or AI ethics training/certification preferred • Knowledge of PBM systems, claims adjudication processes, and payer/provider/pharmacy data exchange patterns preferred • Remote work unavailable to residents of Alaska, Hawaii, Maine, Mississippi, New Hampshire, New Mexico, North Dakota, Rhode Island, South Carolina, South Dakota, West Virginia, and Wyoming

🏖️ Benefits

• Health insurance • Dental insurance • Vision insurance • 20 days paid time off • 4 weeks paid parental leave • 9 paid holidays • 401K company match of up to 5% with no vesting requirement • Adoption Assistance Program • Flexible Spending Account • Educational Assistance Plan • Professional Membership assistance • Referral Bonus Program – up to $750% • STAR Bonus % (At Risk Maximum) 5.00