Engineer, Enterprise AI

🕒 2 days ago

🥔 Idaho – Remote

🥔 Idaho – 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

⚕️ Healthcare Insurance

💊 Pharmaceuticals

🤝 B2B

Healthcare Insurance • Pharmaceuticals • B2B

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 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.

🎯 Requirements

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

🏖️ Benefits

• Top of the industry benefits for Health, Dental, and Vision insurance • 20 days paid time off • 4 weeks paid parental leave • 9 paid holidays • 401K company match of up to 5% - No vesting requirement • Adoption Assistance Program • Flexible Spending Account • Educational Assistance Plan and Professional Membership assistance • Referral Bonus Program – up to $750!