Automation & AI Engineer — Cloud-native Federal Modernization

SAIC; Washington (District of Columbia); Hybrid; USD 120,000 - 160,000; Full time

Job summary

SAIC seeks an Automation & AI Engineer in a hybrid role based in Washington, DC to modernize legacy GMF workloads into secure, cloud-native applications for a federal setting.

You will design and deploy LLM/agentic AI solutions, apply MLOps best practices, and ensure governance for high-value financial transactions. Strong AWS, LangChain, LangGraph, and Python experience are required.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
• Ability to obtain and maintain a public trust requiring U.S. Citizenship or Green Card.
• 9+ years in software, ML, or data engineering, including experience with application modernization.
• 4+ years building and deploying AI/ML or LLM-based applications in production.
• Strong experience with microservices, REST APIs, event-driven architectures and legacy integration.
• Hands-on experience with agentic AI using LangChain and LangGraph.
• Proficiency in Python and ML/NLP libraries (Hugging Face, Transformers, scikit-learn, PyTorch, TensorFlow).
• Production experience with AWS services (Lambda, ECS/EKS, API Gateway, S3, DynamoDB, RDS, OpenSearch, SageMaker, CloudWatch).
• Experience with AWS Bedrock, RAG, vector search, and guardrails.

Responsibilities

• Refactor legacy workloads into secure cloud-native architectures with microservices and event-driven systems.
• Design, build, and deploy LLM and agentic AI solutions using LangChain and LangGraph.
• Apply platform engineering and MLOps/AIOps best practices including CI/CD and infrastructure-as-code.
• Collaborate with architects, developers, testers, and stakeholders to deliver scalable modernization.
• Integrate legacy data sources into modern data platforms and AI-enabled services.
• Support security, privacy, and governance requirements for a regulated federal financial environment.

Skills

Advanced AI/ML

Cloud architecture

Security & governance

Communication with stakeholders

Education

Bachelor's degree in CS/Engineering/DS

Tools

LangChain

LangGraph

AWS Bedrock

Terraform

CloudFormation

Kubernetes

Docker

SageMaker

OpenSearch

Job description

SAIC seeks an Automation & AI Engineer in a hybrid role based in Washington, DC to modernize legacy GMF workloads into secure, cloud-native applications for a federal setting.

You will design and deploy LLM/agentic AI solutions, apply MLOps best practices, and ensure governance for high-value financial transactions. Strong AWS, LangChain, LangGraph, and Python experience are required.