Enterprise AI Architect

Role Overview

• 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.

Tech Stack

• AWS
• Cloud
• Distributed Systems
• Python
• React

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!