AI Solutions Architect — Fraud Prevention

Peraton

Herndon (VA)

On-site

USD 146,000 - 234,000

Full time

4 days ago
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Job summary

Peraton is seeking an AI & ML Advisor to lead the integration architecture for onboarding external AI vendors into secure enclaves within the FPS boundary. You will craft data packaging, define per‑vendor patterns, and apply deep LLM/MLOps expertise to accelerate CMS initiatives.

The role emphasizes security, PHI/PII handling, governance, and effective communication with stakeholders across CMS teams. US citizenship and clearance readiness are required.

Qualifications

  • 8+ years with BS/BA; 6+ years with MS/MA; 3+ years with PhD
  • Hands-on expertise with LLM architectures and agentic AI systems (LoRA/PEFT, RAG, prompt engineering, tool-use/MCP)
  • Experience designing integration architectures for third‑party AI tools inside customer enclaves
  • Proven ability to present architectures to CMS technical and non‑technical stakeholders

Responsibilities

  • Design the integration architecture for onboarding third‑party AI tools into vendor‑isolated DISM enclaves.
  • Author a common data package specification for vendors to consume.
  • Define per‑vendor integration patterns for data access, identity federation, and audit routing.
  • Provide hands‑on LLM/MLOps expertise to internal Peraton teams.
  • Embed security, PHI/PII, and governance controls in architectural designs

Skills

LLM architectures
Agentic AI systems
Python
SQL
AWS
Security governance

Education

BS/BA
MS/MA
PhD

Tools

Snowflake
Databricks
Terraform/IaC
KMS
EKS

Job description

Peraton is seeking an AI & ML Advisor to lead the integration architecture for onboarding external AI vendors into secure enclaves within the FPS boundary. You will craft data packaging, define per‑vendor patterns, and apply deep LLM/MLOps expertise to accelerate CMS initiatives.

The role emphasizes security, PHI/PII handling, governance, and effective communication with stakeholders across CMS teams. US citizenship and clearance readiness are required.

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