AI Solution Engineer - Operations and Implementation
About The Position
Groundswell is a premier technology integrator and solution provider, resolutely committed to solving the most complex challenges facing federal agencies today. Our name, Groundswell, represents our commitment to be an unstoppable, seismic change in government. Ours is a small company culture with big company reach and results. Are you ready to be audacious, be bold and drive change at a rapid pace? Join us, where we’ll make a greater impact together. This AI Solution Engineer supports a Supply Chain Enterprise program by executing analytics workflows, data ingestion pipelines, and machine learning model operations within the operations and implementation branch. The engineer works under the technical direction of an AI Solution Engineer lead, executing ETL processes, analytics production runs, and pipeline maintenance that feed the program's analytic constructs. This role requires on-site work in either Huntsville, AL or Northern Virginia (Washington, DC Metro Area). Limited telework may be permitted based on customer requirements and business needs.
Requirements
- Minimum 4 years of experience in data science, analytics engineering, ML operations, or AI
- Proficiency in Python, SQL, and data pipeline tools (Airflow, Spark, pandas, dbt, or equivalent); working knowledge of relational and cloud data platforms (PostgreSQL, Snowflake, or equivalent)
- Experience with ETL/ELT processes, data transformation, and analytics production workflows across structured and semi-structured data sources
- Familiarity with ML model deployment and monitoring in cloud environments (AWS, Azure, or equivalent)
- Experience working under technical oversight in an integrated government delivery team
- Strong documentation practices and ability to maintain auditable process records
- Candidate must be eligible to obtain and maintain a Top Secret/SCI security clearance
- Must be currently located in Huntsville, AL or the Washington, DC Metro area
Nice To Haves
- Experience with supply chain data, entity resolution, or risk analytics
- Familiarity with government data handling requirements (CUI, NIST 800-171)
- Experience with containerized deployments (Docker/Kubernetes)
- Experience with PostgreSQL, Snowflake, or similar cloud data warehouse platforms in production analytics environments
Responsibilities
- Execute ETL pipelines for supply chain data ingestion including customer technical data packages, transformation, and loading into the environment
- Run and monitor ML model inference jobs, flagging anomalies and performance degradation to the lead
- Build and maintain data pipeline automation using Python, SQL, and orchestration frameworks (Airflow, Spark, dbt, or equivalent)
- Produce analytics outputs that feed vulnerability assessments and mitigation planning
- Participate in data quality validation workflows and contribute to confidence scoring documentation
- Support iterative analytics configuration releases based on Government feedback cycles
- Maintain pipeline documentation, run logs, and provenance records per program governance standards
Benefits
- Comprehensive medical, dental, and vision plans
- Flexible Spending Account
- 4% 401K Match (immediate vesting)
- Paid Time Off
- Tuition reimbursement, certification programs, and professional development
- Flexible work schedule
- On-site gym and childcare option
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
