Data & AI Engineer

POSITION TITLE:Data & AI Engineer LOCATION:Hybrid Columbia, MD CLEARANCE:Must be able to obtain aHigh-RiskPublic Trust COMPANY OVERVIEW At APV,weremore than a technology company werea mission-driven powerhouse transforming organizations through advanced technology and human ingenuity.

Ourexpertisespans AI/ML, data architecture, low-code/no-code development, AgileDevSecOps, and cloud services, delivering scalable and meaningful solutions.

In our Emerging Technology Lab, innovation drives progress.

Our teams create intelligent chatbots, AI-powered assistants, robotic process automation (RPA), essay graders, and data analytics platforms.

Ifyourepassionate about solving complex challenges and shaping the future, APV is the place for you.

Since 2007,wevepartnered with federal and state agencies to deliver IT, training, and consulting solutions that achieve mission-critical outcomes.

Built on accountability, integrity, and quality, we go beyond expectations.With 70+ prime contracts and a proven record of client success, APV continues to grow andwerelooking for exceptional talent to grow with us.

At APV, we Always Provide Value POSITION SUMMARY Provides hands-on data engineering and applied AI/LLM support for a federal proof of concept focused on AI-assisted clinical trial protocol review.

The role works under senior technical and domain guidance to prepare protocol data, implement structured data components, configure and test LLM-based extraction workflows, and support traceable retrieval, comparison, and validation within federal approved environments.

DUTIES Implement and maintain protocol data structures and database components that support extraction, normalization, storage, retrieval, comparison, and reviewer-facing use of ICH M11-aligned and historical protocols.

Translate approved ICH M11, Clinical Data Interchange Standards Consortium (CDISC), Unified Study Definition Model (USDM), ontology, metadata, and terminology models into practical schemas, mappings, JavaScript Object Notation (JSON) structures, and data-processing components under guidance from senior standards and architecture SMEs.

Develop and support ETL/ELT pipelines, Python-based data transformations, and data preparation workflows for protocol content and structured AI outputs while preserving source provenance, metadata, validation status, and reviewer feedback.

Support development and testing of large language model (LLM) workflows for protocol information extraction, summarization, classification, normalization, and comparison, including prompt configuration and structured-output generation.

Assist with retrieval-augmented generation (RAG), embeddings, semantic search, vector indexing, evidence retrieval, and context assembly used to ground LLM responses in protocol content and approved reference sources.

Support integration of LLM and data workflows with FDA-furnished Elsa/HALO capabilities and approved data services, including PostgreSQL and/or HALO/Databricks, for eviden...