Artificial Intelligence & Machine Learning, Advisor

Peraton; Reston (VA); On-site; USD 146,000 - 234,000; Full time

Job summary

Peraton in the United States seeks an Artificial Intelligence & Machine Learning Advisor to serve as a senior technical authority on the CMS Fraud Prevention Services team, owning the integration architecture for onboarding third‑party agentic AI tools into vendor‑isolated enclaves.

You will define a common data package, per‑vendor integration patterns, and provide hands‑on LLM, RAG, and MLOps expertise to CMS stakeholders, ensuring security, PHI/PII controls, and governance within FPS.

Qualifications

• 8+ years in AI/ML architecture and security governance.
• Hands-on expertise with LLM architectures, LoRA/PEFT, and multi-agent orchestration.
• Experience designing integration architectures for third‑party AI tools in secure enclaves.
• Strong Python/SQL, AWS services, and data tooling knowledge.
• Ability to communicate architectures to both technical and non-technical stakeholders.

Responsibilities

• Design integration architecture for onboarding third‑party AI tools into vendor‑isolated enclaves.
• Author a common data package specification with schema, sampling, PHI/PII handling, and refresh cadence.
• Define per‑vendor integration patterns for data access, identity federation, audit‑log routing, and tenant isolation.
• Provide hands‑on LLM and agentic‑AI expertise (RAG, fine‑tuning, tool‑use) to Peraton and CMS teams.
• Ensure architectural designs embed security, PHI/PII controls, and governance within FPS.

Skills

LLM architectures

Agentic AI

RAG

Prompt engineering

LLMOps

Security governance

AWS

Python

SQL

Tenant isolation

Identity federation

Education

BS/BA degree

MS/MA degree

PhD

Tools

Snowflake

Databricks

Unity Catalog

MLflow

Delta Lake

AWS

Terraform

Argo CD

Helm

REST API

Job description

Artificial Intelligence & Machine Learning, Advisor

Job Locations

US

Responsibilities

We are seeking an Artificial Intelligence (AI) Solutions Architect as a senior technical authority on the CMS Fraud Prevention Services (FPS) team, owning the integration architecture that allows three external agentic AI vendors be onboarded into vendor-isolated enclaves inside the FPS ATO boundary. This role will develop AI solutions using Peraton tools to detect fraud, waste, and abuse.

Responsibilitie includes the following:

• Design the integration architecture for onboarding third‑party agentic AI tools into vendor‑isolated DISM enclaves inside the FPS ATO boundary.
• Author a common data package specification (schema, sampling strategy, PHI/PII handling, refresh cadence, packaging) that every evaluated vendor consumes.
• Define the per‑vendor integration pattern for data access, identity federation, audit‑log routing, and tenant isolation.
• Provide deep, hands‑on LLM and agentic‑AI expertise (RAG, fine‑tuning, tool‑use/MCP, multi‑agent orchestration, LLMOps) to internal Peraton teams and CMS technical stakeholders.
• Ensure every architectural design embeds security, quality, PHI/PII, and governance controls appropriate to the FPS environment.

Qualifications

• Minimum of 8 years with BS/BA; Minimum of 6 years with MS/MA; Minimum of 3 years with PhD
• Deep hands‑on expertise with LLM architectures and agentic AI systems: fine‑tuning (LoRA/PEFT), RAG, prompt engineering, tool‑use/MCP, multi‑agent orchestration
• Ability to be highly independent and adaptive in a fast‑changing environment.
• Has an "AI first" mentality and uses AI to accelerate productivity and software development.
• Demonstrated use of AI‑driven coding and knowledge of best practices.
• Demonstrated experience designing integration architectures for third‑party AI tools inside a customer's secure enclave (tenant isolation, identity federation, audit routing)
• Working experience with Snowflake and/or Databricks (Unity Catalog, MLflow, Delta Lake) plus strong SQL and Python.
• Experience deploying AI/ML workloads on AWS (VPC, IAM, KMS, S3, ECS/EKS, RDS, Bedrock or equivalent)
• Solid LLMOps/MLOps practice: versioning, evaluation harnesses, deployment automation, monitoring, governance.
• Familiarity with PHI/PII handling and access‑controlled data storage.
• Strong written and verbal communication; able to present architectures to CMS technical and non‑technical stakeholders.
• US citizenship; ability to obtain and maintain a Public Trust clearance.

Preferred Qualifications:

• Databricks E2 experience: Unity Catalog, Feature Store, MLflow registry, REST API integration.
• Experience with agentic frameworks such as Strands Agents, LangGraph, LlamaIndex, or CrewAI.
• Prior CMS or federal health environment experience (FPS, IDR, One PI).
• Knowledge of Medicare/Medicaid claims, NCD policy, and FWA/program‑integrity use cases.
• Experience with Terraform/IaC, Argo CD, Helm for deploying platform components into AWS/EKS.
• Experience with vector databases, hybrid retrieval, graph retrieval, or long‑context optimization.
• Confluence/JIRA in a SAFe Agile environment.

Peraton Overview

Peraton is a next‑generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.

Target Salary Range

$146,000 - $234,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.

EEO

EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.