AI/ML Platform Engineer for Regulated Gov Programs

SAIC; Virginia; On-site; USD 140,000 - 190,000; Full time

Job summary

SAIC is seeking a highly skilled AI/ML Platform Engineer to join our Engineering Team supporting Civilian government agency programs. This role builds the platform that enables teams to deploy AI at scale, spanning traditional ML, GenAI, and agentic AI.

You will partner with customers from concept through delivery, ensure governance, security, and compliant operations, and work with cloud leaders like AWS and Databricks to move fast without compromising safety.

Qualifications

• Bachelor’s or master’s degree in CS/ML or related field.
• 5+ years hands-on AI/ML engineering across traditional ML, GenAI, or agentic AI.
• Experience enabling AI/ML capabilities as a managed service with governance.
• Proficiency in Python and core AI/ML libraries (PyTorch, TensorFlow, HuggingFace).
• Hands-on experience with cloud-based AI/ML platforms (Databricks, SageMaker) and MLOps.

Responsibilities

• Enable AI/ML platform services as a governed, multi-tenant enterprise offering tenant onboarding, entitlements, access controls, compute environments, and service-level guardrails spanning traditional ML, GenAI, and agentic AI.
• Enable GenAI application building blocks governed access to frontier models via an AI gateway layer, RAG infrastructure, guardrails, grounding validation, and feedback mechanisms.
• Enable agentic AI patterns orchestration frameworks, tool/API integration, memory/state management, human-in-the-loop controls, and safety guardrails.
• Enable traditional ML operationalization governed training environments, model deployment pipelines with bias/fairness/explainability controls, and drift monitoring.
• Partner with customers from concept to delivery to own the engagement end-to-end: requirements, specs, design, hands-on implementation, and production handoff.
• Rapidly evaluate and integrate new platform capabilities and tools to stay current with the evolving AI/ML landscape.
• Develop IaC templates (Terraform, CloudFormation) with SSO integration for repeatability across deployments.
• Develop secure API-based model access and inference endpoints compliant with governance and security standards.
• Document reusable patterns, frameworks, and APIs for future deployments.

Skills

Python

PyTorch

TensorFlow

LangChain

Databricks

SageMaker

MLOps

Terraform

CloudFormation

FedRAMP

Education

Bachelor's or Master's in CS/ML

Tools

Databricks

SageMaker

MLflow

Docker

Kubernetes

Git

Terraform

CloudFormation

Job description

SAIC is seeking a highly skilled AI/ML Platform Engineer to join our Engineering Team supporting Civilian government agency programs. This role builds the platform that enables teams to deploy AI at scale, spanning traditional ML, GenAI, and agentic AI.

You will partner with customers from concept through delivery, ensure governance, security, and compliant operations, and work with cloud leaders like AWS and Databricks to move fast without compromising safety.