Enterprise AI Engineer - MLOps & GenAI Platforms (Remote)

Navitus; Atlanta (GA); Presencial; USD 140.000 - 210.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

Dental insurance

Vision insurance

Paid time off 20 days

Parental leave 4 weeks

401K match up to 5%

Descripción de la vacante

Navitus is seeking an Engineer, Enterprise AI in Atlanta to design, build, and operationalize scalable AI capabilities across the organization. You’ll collaborate with Enterprise AI Architects and other teams to deliver AI services, integrations, and governance-compliant solutions.

The role emphasizes hands-on development in Python/C#, cloud platforms, and AI workflow orchestration, with a focus on MLOps/LLMOps and enterprise-scale deployments.

Formación

• Bachelor's degree in CS, AI, data science, or related field.
• AWS or equivalent cloud certification preferred.
• 6-8 years of software/ML engineering with 2-4 years in production AI.
• Experience integrating AI with enterprise apps and data platforms.
• Experience with generative/agentic AI workflows and MLOps.

Responsabilidades

• Design, build, and maintain enterprise AI solutions enabling scalable generative AI and agentic AI capabilities.
• Translate reference architectures and standards into production-ready solutions.
• Develop AI integration patterns connecting AI to enterprise apps, APIs, data platforms, and cloud services.
• Build AI-enabled services, including model interfaces, orchestration, and reusable tooling.
• Support Agentic AI workflows (orchestration, context management, human-in-the-loop).
• Implement AI operational capabilities (MLOps/LLMOps) with deployment pipelines and monitoring.
• Ensure AI aligns with governance, privacy, auditability, and compliance.

Conocimientos

Python

C#

Distributed systems

ML/AI

APIs

Educación

Bachelor's degree in Computer Science or related technical field

Herramientas

AWS

MLOps

LLMOps

MCP servers

Descripción del empleo

Navitus is seeking an Engineer, Enterprise AI in Atlanta to design, build, and operationalize scalable AI capabilities across the organization. You’ll collaborate with Enterprise AI Architects and other teams to deliver AI services, integrations, and governance-compliant solutions.

The role emphasizes hands-on development in Python/C#, cloud platforms, and AI workflow orchestration, with a focus on MLOps/LLMOps and enterprise-scale deployments.