Senior AI Platform & ModelOps Engineer

General Dynamics Information Technology, Inc.; Chantilly (VA); On-site; USD 162,000 - 219,000; Full time

Benefits offered by this job

Health plan options

401(k) with company match

Paid time off

Flexible work options

Job summary

General Dynamics Information Technology, Inc. is actively seeking a hands-on AI Platform Operations Engineer to own and mature the end-to-end platform, moving AI workloads from development to trusted production in highly regulated environments.

You will design and operate AI/ML platform services, build controlled import/release workflows, and enforce provenance, SBOMs, license reviews, and rollback strategies across model assets and deployments.

Qualifications

• Education and active TS/SCI with Polygraph, 8+ years in platform/DevSecOps/SRE/ML engineering/cloud.
• Hands-on experience deploying local model-serving platforms (e.g., vLLM, Triton, ONNX Runtime).
• Strong Linux, containers, Kubernetes/OpenShift, networking, storage, GPU, and automation skills.
• Experience with model/artifact registries, release management, CI/CD, internal repos, and disconnected dependency management.

Responsibilities

• Design and operate AI/ML platform services for local model serving, orchestration, registries, experiment tracking, and deployment automation.
• Build controlled import and release workflows for model weights, containers, Python packages, datasets, and vulnerability updates in disconnected environments.
• Implement provenance, SBOMs, malware/vulnerability scans, license review, approvals, staged validation, and rollback for AI artifacts.
• Deploy and tune inference services using approved serving stacks; manage batching, concurrency, memory, quantization, autoscaling, queueing, resilience, and degradation.
• Establish versioning and release relationships among model, tokenizer, prompt, retrieval index, embedding model, configuration, evaluation set, application, infra.
• Develop capacity models and advise on hardware options, cost/performance trade-offs; implement health, telemetry, and enterprise observability integration.
• Define backup/recovery, patching, vulnerability treatment, certificate rotation, and incident procedures for AI platform services.
• Partner with AI Assurance and Security to enforce gates, evaluation thresholds, audit, data restrictions, and release evidence.

Skills

Linux

Kubernetes/OpenShift

Python

CI/CD

Terraform

Ansible

Helm

GitLab CI/Jenkins

Security

Observability

Education

Bachelor’s degree in Computer Science / related field

Tools

vLLM

TGI

Triton

ONNX Runtime

Ollama

PyTorch

Job description

General Dynamics Information Technology, Inc. is actively seeking a hands-on AI Platform Operations Engineer to own and mature the end-to-end platform, moving AI workloads from development to trusted production in highly regulated environments.

You will design and operate AI/ML platform services, build controlled import/release workflows, and enforce provenance, SBOMs, license reviews, and rollback strategies across model assets and deployments.