Enterprise AI Platform Engineer - Remote

Navitus; Little Rock (AR); A distancia; USD 140.000 - 210.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

Dental insurance

Vision insurance

PTO 20 days

Parental leave 4 weeks

9 paid holidays

401K company match up to 5%

Adoption assistance

Flexible Spending Account

Educational assistance

Professional membership assistance

Referral bonus up to $750

Descripción de la vacante

Navitus is expanding its Enterprise AI team. The Engineer, Enterprise AI will design, build, and operationalize scalable AI capabilities, aligning with governance and security standards while partnering with Architecture, Platform, and Data teams to deliver AI services and integrations.

This role focuses on generative AI, ML, and agentic workflows, ensuring compliant, reusable AI components across the organization.

Formación

• 6-8 years of software development, platform engineering, or ML engineering experience.
• Hands-on experience deploying AI/ML in production environments.
• Experience building AI-enabled applications and data pipelines.
• Ability to implement AI integration patterns with enterprise apps and APIs.
• Experience with generative and agentic AI workflows and MCP-like contexts.
• Proven MLOps/LLMOps experience including deployment pipelines and monitoring.
• Aligned with enterprise architecture, security, and governance standards.
• Strong collaboration with architecture, data, and product teams.

Responsabilidades

• Design, build, and maintain enterprise AI solutions for scalable generative AI adoption.
• Implement enterprise AI architecture patterns and translate reference designs.
• Develop AI integration patterns with enterprise apps, data platforms, and cloud services.
• Create AI-enabled services, including model interfaces and orchestration components.
• Support Agentic AI workflows with orchestration, tool integration, and context management.
• Maintain MLOps/LLMOps pipelines, monitoring, and lifecycle controls.
• Ensure solutions meet governance, data privacy, and regulatory requirements.
• Collaborate with Platform/Data Engineering to deploy and scale AI infrastructure.
• Other duties as assigned.

Conocimientos

Python

C#

AI platforms

Cloud services

MLOps

API integration

Data pipelines

Generative AI

Security & compliance

End-user interviews

Educación

Bachelor’s degree in Computer Science/related field

AWS Certified Solutions Architect – Associate

AWS Machine Learning – Specialty

MLOps certification

Responsible AI / AI ethics training

Herramientas

AWS

Azure

GCP

Kubernetes

MLflow

Model Serving

Descripción del empleo

Navitus is expanding its Enterprise AI team. The Engineer, Enterprise AI will design, build, and operationalize scalable AI capabilities, aligning with governance and security standards while partnering with Architecture, Platform, and Data teams to deliver AI services and integrations.

This role focuses on generative AI, ML, and agentic workflows, ensuring compliant, reusable AI components across the organization.