Senior Enterprise AI Engineer (Remote, MLOps/Agentic)

Navitus; Richmond (VA); Remote; USD 120,000 - 155,000; Full time

Benefits offered by this job

Health, Dental, Vision insurance

Paid time off (20 days)

Parental leave (4 weeks)

Holidays (9)

401K match up to 5%

Adoption Assistance

Flexible Spending Account

Educational Assistance & Membership

Referral Bonus up to $750

Job summary

Navitus is seeking an Engineer, Enterprise AI to design, build, and operationalize scalable AI capabilities across the organization. You will translate reference architectures into production-ready solutions while aligning with security, governance, and regulatory standards.

You will collaborate with Enterprise AI Architects, Platform Engineering, and Data Engineering to deploy AI services, integrations, and agentic workflows in cloud environments.

Qualifications

• Bachelor's degree in Computer Science, AI, Data Science, Software Engineering, Information Systems, or related field, or equivalent work experience, required.
• AWS Certified Solutions Architect – Associate or AWS ML – Specialty preferred.
• MLOps or AI platform engineering certification preferred.
• Responsible AI / AI ethics training preferred.
• 6-8 years of software/ML development or platform engineering experience, with 2-4 years hands-on AI/ML production work.

Responsibilities

• Design, build, and maintain enterprise AI solutions and services enabling scalable AI adoption.
• Translate enterprise AI architecture patterns into production-ready solutions.
• Develop AI integration patterns connecting AI with enterprise apps, data platforms, and cloud services.
• Create AI-enabled services and components, including model interfaces and orchestration services.
• Support Agentic AI workflows, orchestration, tool integrations, and human-in-the-loop capabilities.
• Implement AI operations (MLOps/LLMOps) with deployment pipelines, monitoring, and lifecycle management.
• Ensure AI solutions align with governance, security, and regulatory standards.
• Collaborate with Platform/Data Engineering to deploy and scale AI infrastructure.

Skills

Python

C#

AI/ML

MLOps

Cloud platforms

Data integration

Security & compliance

Enterprise architecture

Stakeholder interviewing

Education

Bachelor's degree

AWS Certified Solutions Architect – Associate

AWS Machine Learning – Specialty

MLOps certification

Responsible AI / AI governance training

Tools

Kubernetes

REST APIs

Job description

Navitus is seeking an Engineer, Enterprise AI to design, build, and operationalize scalable AI capabilities across the organization. You will translate reference architectures into production-ready solutions while aligning with security, governance, and regulatory standards.

You will collaborate with Enterprise AI Architects, Platform Engineering, and Data Engineering to deploy AI services, integrations, and agentic workflows in cloud environments.