3 days ago
Base Salary
$146k - $234k/yr
Responsibilities
- Design enterprise AI/ML architectures covering model selection, inference infrastructure, training pipelines, MLOps, and mission application integration.
- Architect and deploy LLM, generative AI, Retrieval-Augmented Generation, and agentic AI solutions through prototyping, production deployment, and sustainment.
- Design scalable GPU, model-serving, inference, and containerized AI/ML environments for enterprise and classified, disconnected, or air-gapped operations.
- Optimize AI/ML architectures for performance, scalability, resource utilization, cost, and operational efficiency.
- Develop secure, governed, and responsible AI deployment and lifecycle approaches, including human-in-the-loop and human-on-the-loop capabilities.
- Evaluate emerging AI/ML technologies and maintain an innovation roadmap.
- Provide technical leadership and architectural guidance across data science, platform engineering, cybersecurity, infrastructure, and mission teams.
- Communicate architecture decisions and technical recommendations to technical and non-technical stakeholders.
Requirements
- 12+ years of experience with a bachelor's degree, or 10+ years with a master's degree; an additional 4 years of experience may substitute for a degree.
- 10+ years of relevant experience in AI/ML architecture, engineering, or technical leadership.
- Demonstrated experience designing and deploying production AI/ML architectures at enterprise scale.
- Strong experience with LLM architecture, transformer models, Retrieval-Augmented Generation, and generative AI.
- Experience with LoRA, QLoRA, and/or Parameter-Efficient Fine-Tuning techniques.
- Experience designing GPU architectures using NVIDIA A100/H100 or comparable platforms.
- Experience with vLLM, TensorRT, and/or Triton for model serving and inference.
- Experience designing MLOps pipelines with MLflow, Kubeflow, or comparable platforms.
- Experience with agentic AI frameworks such as LangChain, LangGraph, or AutoGen.
- Experience deploying AI/ML solutions in classified, disconnected, or air-gapped environments.
- Ability to address AI governance, security, risk management, and responsible AI requirements.
- Active TS/SCI clearance with polygraph.
- Preferred experience includes Kubernetes or OpenShift, Milvus, Weaviate, pgvector, Apache Spark, Airflow, HELM, lm-eval, the NIST AI Risk Management Framework, ONNX optimization, GPU capacity planning, large-scale video datasets, and multi-domain classification environments.
Benefits
- Eligible employees may receive medical, dental, vision, life, health savings account, short- and long-term disability, EAP, parental leave, 401(k), paid time off, and company-paid holidays.
- The position is fully onsite in Chantilly, Virginia.
- The application period is estimated at 30 days from posting but may change based on business needs and candidate availability.
Tech Stack
Categories
About Peraton
Peraton builds and integrates mission systems, cyber, space, and intelligence solutions for U.S. defense, intelligence, and civil agencies. It delivers enterprise IT, satellite and terrestrial communications, and spectrum management under government contracts. Founded in 2017, the company is headquartered in Reston, Virginia and is privately held by Veritas Capital.