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AI Engineer - Mission Innovation Lab

Car*** · Pittsburgh, PA, United States
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Pittsburgh, PA, United StatesRemote
Remuneration
Not specified
Location
Pittsburgh, PA, United States
Visa sponsorship
Sponsors visa

Job summary

At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering questions related to the practical design and implementation of AI technologies and systems. We currently lead a community-wide movement to mature the discipline of AI Engineering for Defense and National Security.

Benefits

Eligible employees enjoy a wide array ofUnlock your potential with tuitionAdditionalFor a comprehensiveAvailable, explore ourPage .At Carnegie Mellon, we value the whole package when extending offers of employmeBeyond credentials, we evaluate the role and

Qualifications

  • The Mission Innovation Lab within the SEI’s AI Division works with the defense and national security community to translate the “ recently possible” in AI into reliable mission and warfighting capabilities.
  • You will be subject to a background investigation and must be able to obtain and maintain an active Department of War ( Do W ) security clearance.
  • You must be able and willing to work onsite 5 days per week at an SEI office in either Pittsburgh, PA or Arlington, VA.
  • Proficiency in Python and at least one compiled language (C/C++ or Java); experience with REST/ GraphQL APIs and containerization.
  • Strong grasp of ML theory (supervised, unsupervised, reinforcement learning) and evaluation metrics.
  • Hands ‑ on experience fine ‑ tuning LLMs and using frameworks such as Hugging Face Transformers, LangChain , or comparable agent

Responsibilities

  • De sign, de velop , and fine ‑ tune a variety of AI model s .
  • Design autonomous agents and multi ‑ step pipelines using LangChain , ReAct , tool ‑ calling, or custom orchestration; employ the Model Context protocol to manage stateful interactions .
  • Build Retrieval ‑ Augmented Generation pipelines that combine external knowledge bases with LLMs to improve factual accuracy for warfighting applications .
  • Implement end ‑ to ‑ end data pipelines, ETL processes, and back ‑ end services (Python, C/C++, Java) that feed data to models .
  • Create CI/CD pipelines for model training, validation, containerized deployment (Docker/Kubernetes), and security scanning; maintain model registries, monitoring, and version control of context protocols .
  • Produce rapid prototypes, run benchmarks, and conduct robustness/adversarial testing in realistic environments.
  • Work closely with senior ML engineers, software developers, and government customers; mentor junior staff and contribute to design reviews and documentation .
  • Stay current with emerging LLM architectures, agentic paradigms, PEFT/ LoRA methods, and AI ‑ safety techniques; translate new research into operational capabilities .
  • Required
  • your valuable work experience, and the knowledge gained through education and training.
  • We appreciate your unique

Skills

CommunicationFront Desk OperationsTeamwork

Degrees

AssociateDegree

Languages

Arabic

Industry

AutomotiveDefenseEducationInsurancePublic-sector

Company size

Smb

Security clearance

Security clearance