Remote Enterprise AI Architect - Governance & Platform

Navitus; Frankfort (KY); Remote; USD 180,000 - 240,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Paid time off – 20 days

Parental leave – 4 weeks

9 paid holidays

401K with match up to 5%

Adoption Assistance Program

Flexible Spending Account

Educational Assistance Plan and Pro/M'

Job summary

Navitus is seeking an Architect, Enterprise AI to lead the enterprise AI architecture strategy, governance, and integration across platforms, data services, and cloud environments. You will partner with architecture, platform, data, and product teams to define scalable patterns and secure, compliant AI solutions.

You will define reference architectures for generative AI, agentic workflows, and LLM platforms, while ensuring cost efficiency and regulatory alignment.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Software Engineering, or a related field, or equivalent work experience, required.
• 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 AI/ML technologies, required.
• Advanced development skills in multiple modern languages, including C#, React, and Python required.

Responsibilities

• 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.

Skills

C#

React

Python

AI architecture

MLOps/LLMOps

Cloud platforms

AWS

Education

Bachelor’s degree in Computer Science/Information Systems/Software Engineering or related field

AWS Certified Solutions Architect Professional

AWS Certified Machine Learning – Specialty

Responsible AI / AI Governance certification

Certified AI Professional / AI/ML certification

Tools

AWS

Job description

Navitus is seeking an Architect, Enterprise AI to lead the enterprise AI architecture strategy, governance, and integration across platforms, data services, and cloud environments. You will partner with architecture, platform, data, and product teams to define scalable patterns and secure, compliant AI solutions.

You will define reference architectures for generative AI, agentic workflows, and LLM platforms, while ensuring cost efficiency and regulatory alignment.