2 days ago
Remote, United StatesEntry Level
Responsibilities
- Modernize legacy GMF and related workloads by refactoring monoliths and batch processes into secure cloud-native architectures with AI and automation.
- Design, build, and deploy LLM- and agentic AI solutions using frameworks such as LangChain, LangGraph, RAG, vector search, and AWS Bedrock agents.
- Implement platform engineering, MLOps/AIOps, CI/CD, infrastructure as code, model and prompt lifecycle management, observability, and responsible AI controls.
- Collaborate with architects, developers, testers, and stakeholders to create scalable, secure AI-driven modernization solutions.
- Integrate legacy data sources into modern data platforms and AI-enabled services.
- Ensure compliance with security, privacy, and governance requirements in a regulated federal financial environment.
Requirements
- Bachelor's degree in Computer Science, Engineering, Data Science, or a related field, or four years of experience in lieu of the degree.
- 0+ years of software, ML, or data engineering experience, including application modernization experience.
- Ability to obtain and maintain a public trust requiring U.S. Citizenship or Green Card.
- Familiarity with AI/ML or LLM-based applications in production and hands-on experience building agentic AI solutions with LLM frameworks.
- Strong experience with modern application architectures, legacy integration, Python, ML/NLP libraries, AWS, AWS Bedrock, RAG, vector search or databases, CI/CD, infrastructure as code, MLOps/AIOps, SQL, Docker, and Kubernetes.
- Preferred qualifications include Databricks, LangSmith or similar observability tools, CrewAI, AutoGen, Temporal, Model Context Protocol, BrainTrust, DeepEval, multi-agent workflows, and production agent operations.
Tech Stack
Categories
About SAIC
SAIC (Science Applications International Corporation) is a government technology integrator delivering systems engineering, enterprise IT, secure cloud, cybersecurity, C5ISR, and data analytics for U.S. defense, space, intelligence, and civilian agencies. It builds and sustains mission IT and digital engineering solutions under multi-year federal contracts and task orders. Founded in 1969, SAIC is headquartered in Reston, Virginia, and is a public company traded on the NYSE under the ticker SAIC.