Artificial Intelligence & Machine Learning, Advisor
Peraton · UNAVAILABLE, UNAVAILABLE, US
About this role
## Responsibilities - Serve as a senior technical authority on the CMS Fraud Prevention Services (FPS) team. - Own the integration architecture to onboard **three external agentic AI vendors** into **vendor-isolated enclaves** inside the **FPS ATO boundary**. - Develop AI solutions using **Peraton tools** to detect **fraud, waste, and abuse**. - Design integration architecture for onboarding third-party agentic AI tools into **vendor-isolated DISM enclaves** within 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 per-vendor integration patterns for: - Data access - Identity federation - Audit-log routing - Tenant isolation - Provide deep, hands-on **LLM and agentic AI** expertise to internal Peraton teams and CMS technical stakeholders, including: - RAG - Fine-tuning - Tool-use / MCP - Multi-agent orchestration - LLMOps - Ensure architectural designs embed required **security, quality, PHI/PII, and governance controls** for the FPS environment. ## Qualifications - **Minimum education/experience**: - 8+ years with BS/BA, **or** - 6+ years with MS/MA, **or** - 3+ years with PhD - Deep hands-on expertise with **LLM architectures and agentic AI systems**, including: - 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. - “**AI first**” mindset; 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** and ability to obtain/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 delivering trusted solutions and enterprise IT to protect our nation and allies. Learn more at **peraton.com**. ## Target Salary Range - **$146,000 – $234,000** (typical range) ## EEO Equal opportunity employer, including disability and protected veterans, or other c
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