Architect, Enterprise AI

Navitus; Atlanta (GA); On-site; USD 180,000 - 280,000; Full time

Benefits offered by this job

Health, Dental, and Vision insurance

Paid Time Off

Parental Leave (4 weeks)

9 holidays

401K company match (up to 5%)

Adoption Assistance

Flexible Spending Account

Educational Assistance Plan

Professional Membership assistance

Referral Bonus Program – up to $750

Job summary

Navitus is seeking an Architect, Enterprise AI to design, govern, and advance the AI architecture strategy across the organization. You will partner with EA, Platform Eng, Data Eng, and Product teams to define scalable AI patterns, reference architectures, and governance ensuring responsible and compliant use of AI technologies.

You will lead design standards for generative AI, agentic workflows, and LLM orchestration, while aligning with security, regulatory requirements, and enterprise goals.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Software Engineering, or related field, or equivalent work experience, required.
• 10+ years in software development or architecture, with ≥5 years in AI/ML technologies.
• Experience defining enterprise AI architecture patterns and governance frameworks.

Responsibilities

• Define and maintain enterprise AI architecture strategy for scalable AI adoption.
• Establish AI architecture patterns for generative AI, agentic workflows, RAG, and service integration.
• Develop AI governance frameworks ensuring responsible, secure, compliant use of AI.
• Define AI platform strategy and evaluate/advise on LLM providers and tooling.
• Establish AI integration patterns with enterprise platforms, APIs, data platforms, and cloud services.
• Define agentic AI architectural patterns including workflow orchestration and human-in-the-loop.
• Ensure adherence to Responsible AI and regulatory compliance.
• Define AI operations standards (MLOps/LLMOps) including deployment and monitoring.
• Address AI security, privacy, and cost management considerations.

Skills

C#

React

Python

AI/ML

Cloud architecture

Enterprise architecture

Security governance

Education

Bachelor's degree in CS/related field

Job description

Overview

Due to growth, we are adding a Architect, Enterprise AIto our team!

The Architect, Enterprise AI is responsible for designing, governing, and advancing the enterprise architecture strategy for Artificial Intelligence and Agentic AI capabilities across the organization. This role partners with Enterprise Architecture, Platform Engineering, Data Engineering, and Product teams to define scalable AI architecture patterns, reference architectures, and governance frameworks that enable responsible and secure use of AI technologies. The Architect serves as the enterprise subject matter expert on AI platforms, generative AI, and agentic workflows, ensuring alignment with enterprise architecture principles, security requirements, and regulatory standards while enabling innovation and business value.

Is this you? Find out more below!

Responsibilities

How do I make an impact on my team?

• 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.

Qualifications

What our team expects from you?

• 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 s support compliance program objectives.
• The ability to consistently interact cooperatively and respectfully with other employees.

What can you expect from Navitus?

• Top of the industry benefits for Health, Dental, and Vision insurance
• 20 days paid time off
• 4 weeks paid parental leave
• 9 paid holidays
• 401Kcompany 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!

Navitus Health Solutions is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, pregnancy, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, veteran status, or any other characteristic protected by law.

Equal employment opportunity, including veterans and individuals with disabilities.