Position Details

Type Full-Time

Experience senior

Exp. Years 7+ years

Education Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, or related field; or Master’s with 6+ years

Category AI & Machine Learning

About this role

Senior Data AI Engineer to support a DoD program, building data ingestion, validation, and AI-enabled decision support for a government-owned digital twin platform.

Key Responsibilities

Design governed ingestion pipelines
Build validation and lineage
Implement AI-enabled analysis and brief-ready outputs
Enable function calling and retrieval of live data
Audit-logged AI interactions

Technical Overview

Hands-on data engineering with Python, FastAPI, and AI integration; data quality and lineage; cloud storage (S3); document databases; Redis caching; DoD/government program experience

Ideal Candidate

The ideal candidate is an accomplished senior data/AI engineer with strong Python and data engineering capabilities, experience integrating LLMs via OpenAI or equivalent, and a background in DoD or federal programs. They should lead data ingestion, validation, and AI-enabled decision support in mission-critical environments.

Must-Have Skills

Bachelor’s degree in Computer ScienceData ScienceEngineeringInformation Systemsor related; or Master’s with 6+ years7+ years of professional experience in data engineering or data/AI engineeringPython development experience including PandasNumPyETL/ELTExperience with LLM APIs and AI-enabled backendsMongoDB / Amazon DocumentDB experienceAmazon S3 and Redis/ElastiCache experienceFastAPI experienceCloud-based environments (AWS)DoD or federal Government programs experienceStrong communication with technical and non-technical stakeholders

Nice-to-Have Skills

Databricks / data meshSimPy or discrete-event data inputsAdvana or War Data Platform exposureArmy cloud environmentsMunitions-related data structures

Tools & Platforms

Python 3.11+PandasNumPyFastAPIMongoDB / Amazon DocumentDBAmazon S3Redis / ElastiCacheOpenAI APIGitHub ActionsCI/CDAWSSimPy

Required Skills

Bachelor’s degree; 7+ years experience in data engineering or data/AI; Python; Pandas; NumPy; ETL/ELT; data pipelines; data validation; schema enforcement; referential integrity; data contracts; LLM APIs; OpenAI API; function calling; scoped retrieval; prompt engineering; MongoDB / Amazon DocumentDB; Amazon S3; Redis / ElastiCache; FastAPI; AWS; DoD programs

Hard Skills

PythonPandasNumPyETL/ELT designdata pipelinesdata validationschema enforcementreferential integritydata contractsvalidation feedback mechanismsOpenAI APIfunction callingscoped retrievalprompt engineeringMongoDBAmazon DocumentDBAmazon S3RedisAmazon ElastiCacheFastAPIAWSDoD programs

Soft Skills

communicationstakeholder managementteam collaborationproblem-solving

Industry & Role

Industry Defense

Job Function Lead data engineering and AI-enabled decision-support for a DoD digital twin platform

Role Subtype AI Engineer

Tech Domains Python, FastAPI, Pandas, NumPy, MongoDB, Amazon DocumentDB, Amazon S3, Redis, Amazon ElastiCache, OpenAI API

Keywords for Your Resume

senior data ai engineerpythonpandasnumpyetldata pipelinesdata validationschema enforcementreferential integritydata contractsllm apiopenai apifunction callingscoped retrievalprompt engineeringmongodbamazon documentdbamazon s3rediselastiCachefastapiawsdo dgovernment programsdata lineageOpenAI APILLM integrationPythonFastAPIMongoDBAmazon DocumentDBAmazon S3RedisAWS

Deal Breakers

Lack of DoD/government program experience, Insufficient Python/AI engineering experience, Inability to work remotely

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