Senior AI Systems Engineer (Remote) – MLOps & Automation Leader

Applied-Research-Associates,-Inc; Albuquerque (NM); Hybrid; USD 140,000 - 180,000; Full time

Job summary

Applied-Research-Associates, Inc. seeks a senior AI Platform engineer to lead deployment, integration, and operational support of AI tools across enterprise systems.

You will design and optimize infrastructure, operationalize ML workflows, and sustain AI-enabled applications from development to production. The role requires 8–10 years in engineering with strong Python, Bash, and DevOps skills, plus experience with PyTorch, Kubernetes, and CI/CD pipelines.

Qualifications

• Bachelor’s degree in CS, Engineering, IT or related STEM with 8–10 years of engineering experience.
• 2+ years supporting AI/ML platforms, MLOps, model deployment, or AI infrastructure.

Responsibilities

• Lead deployment, integration, and support of AI platforms with existing systems and enterprise processes.
• Design, implement, monitor, and optimize AI infrastructure across server, cloud, and platform teams.
• Operationalize ML workflows and support AI-enabled applications from development to production.

Skills

Python

Bash

MLOps

CI/CD

Kubernetes

Docker

PyTorch

Git workflows

Security

Communication

Education

Bachelor’s degree in CS/Engineering

Tools

MLflow

Kubeflow

vLLM

OpenAI API

LangChain

Job description

Applied-Research-Associates, Inc. seeks a senior AI Platform engineer to lead deployment, integration, and operational support of AI tools across enterprise systems.

You will design and optimize infrastructure, operationalize ML workflows, and sustain AI-enabled applications from development to production. The role requires 8–10 years in engineering with strong Python, Bash, and DevOps skills, plus experience with PyTorch, Kubernetes, and CI/CD pipelines.