Architect, Enterprise AI

🕒 6 days ago

🥔 Idaho – Remote

🥔 Idaho – Remote

💵 $124.1k - $170k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 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

• Define and maintain the enterprise AI architecture strategy, including standards and reference architectures that support scalable adoption of AI, generative AI, and agentic AI capabilities across the organization. • Establish and maintain enterprise AI architecture patterns, including design standards for generative AI, agentic workflows, retrieval-augmented generation (RAG), model orchestration, and enterprise AI service integration. • Develop and implement AI governance frameworks and architectural guardrails to ensure responsible, secure, and compliant use of AI technologies across the enterprise. • Define AI platform strategy by evaluating and recommending AI platforms, large language model providers, orchestration frameworks, and supporting tooling aligned with enterprise architecture standards. • Establish AI integration patterns that enable AI capabilities to integrate with enterprise platforms, APIs, data platforms, and cloud services while maintaining scalability and reliability. • Define and promote Agentic AI architectural patterns, including standards for workflow orchestration, tool integration, memory/context management, and human-in-the-loop capabilities. • Ensure adherence to Responsible AI and regulatory compliance requirements, including standards for data privacy, auditability, model transparency, and ethical AI practices. • Define architectural standards for AI operations (LLMOps/MLOps) including model lifecycle management, monitoring, observability, deployment pipelines, and operational controls. • Establish AI security and cost management practices, including secure model access, data protection standards, usage controls, and architectural patterns that optimize AI infrastructure and consumption costs. • Other duties as assigned.

🎯 Requirements

• Bachelor’s degree in Computer Science, Information Systems, Software Engineering, or a related field, or equivalent work experience, required. • Certification/Licenses: AWS Certified Solutions Architect Professional and AWS Certified Machine Learning – Specialty certification preferred. • Responsible AI / AI Governance certification preferred. • Industry-recognized Certified AI Professional certification or equivalent AI/ML certification preferred. • 10+ years of experience in software development or architecture, including a minimum of 5 years focused on Artificial Intelligence and Machine Learning technologies, required. • Demonstrated experience defining enterprise AI architecture patterns, including model integration, orchestration frameworks, and AI-enabled application design within cloud or distributed systems required. • Experience establishing or supporting AI governance frameworks, including responsible AI practices, regulatory compliance, model lifecycle oversight, and enterprise guardrails for safe AI adoption required. • Experience defining AI platform strategies, including evaluation, selection, and architectural guidance for enterprise AI platforms, large language models, and supporting tooling required. • Proven experience designing AI integration patterns that connect AI capabilities with enterprise platforms, APIs, data platforms, and cloud services required. • Experience implementing or guiding AI operations practices (MLOps/LLMOps) including model deployment, monitoring, lifecycle management, and operational governance for AI-enabled systems required. • Demonstrated experience addressing AI security, privacy, and cost management considerations, including secure model access, protection of sensitive data, and architectural approaches to optimize AI usage and operational costs required. • Experience collaborating with enterprise architecture, engineering, data, and product teams to enable enterprise adoption of AI capabilities and guide solution architecture decisions required. • Experience with interviewing end-users for insight on functionality, interface, problems, and/or usability issues required. • Advanced development skills in multiple modern languages, including C#, React, and Python required. • 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.

🏖️ 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!