Senior ML Engineer – Federal GovCloud & RAG AI

Pantheon Data; Reston (VA); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

SmartBenefits

Tuition assistance

Job summary

Pantheon Data in Reston, VA is seeking a Senior Machine Learning Engineer to design, build, and operate production AI systems for federal clients, including hybrid retrieval-augmented generation (RAG) applications, IDP pipelines, and LLM-backed decision-support tools running in AWS GovCloud.

This is a hands-on role working with GovCloud-hosted foundation models on Amazon Bedrock, building hybrid retrieval over relational and vector data stores, and shipping secure, traceable systems in FedRAMP

Qualifications

• Bachelor's degree in Computer Science, Engineering, Mathematics, Data Science, or a related technical field, or equivalent professional experience.
• 8+ years of professional software engineering experience, including 5+ years hands-on in machine learning / AI engineering or a closely related role.
• Demonstrated experience shipping AI/ML systems beyond notebooks and demos: production pipelines, services, APIs, inference endpoints, evaluation harnesses, or customer-facing tools you built and supported.
• Hands-on experience building LLM-backed applications with managed foundation-model services - Amazon Bedrock strongly preferred (Claude, Titan, or similar models), ideally in AWS GovCloud or another regulated/isolated environment.
• Deep experience with RAG architectures: embeddings, vector search (pgvector or comparable), hybrid retrieval (semantic + lexical + structured), chunking strategies, re-ranking or rank fusion, and citation/evidence grounding.

Responsibilities

• Design, implement, and maintain ML/AI software components for RAG, IDP, and generative AI systems serving federal customers.
• Build and operate data pipelines for unstructured and semi-structured data: ingestion, extraction, cleaning, enrichment, validation, quality scoring, quarantine/review, and storage.
• Develop and evaluate NLP, OCR, computer vision, embedding, retrieval, and LLM-based approaches for document understanding and question answering.
• Contribute production-quality Python with clear structure, tests, logging, error handling, and documentation; participate in code review and team-based delivery.
• Deploy and support AI services in cloud and containerized environments, including Bedrock model integration, batch processing, workflow orchestration, and observability.

Skills

Python engineering

ML/AI engineering

RAG architectures

AWS GovCloud Bedrock

PostgreSQL pgvector

CI/CD & Git workflows

Education

Bachelor's degree in CS or related field

Tools

Amazon Bedrock

pgvector

Terraform

Docker

S3

Job description

Pantheon Data in Reston, VA is seeking a Senior Machine Learning Engineer to design, build, and operate production AI systems for federal clients, including hybrid retrieval-augmented generation (RAG) applications, IDP pipelines, and LLM-backed decision-support tools running in AWS GovCloud.

This is a hands-on role working with GovCloud-hosted foundation models on Amazon Bedrock, building hybrid retrieval over relational and vector data stores, and shipping secure, traceable systems in FedRAMP