AI Solution Engineer – Operations and Implementation

Groundswell

AI Solution Engineer supporting analytics workflows, data ingestion, and ML operations for a Supply Chain Enterprise program. Involves executing ETL processes and maintaining data pipelines in a government context.

Posted 4/17/2026full-timeAlabama, Virginia • 🇺🇸 United StatesMid-LevelSenior💰 $89,886 - $175,444 per yearWebsite

Tech Stack

Tools & technologies

AirflowAWSAzureCloudETLPandasPostgresPythonSparkSQL

About the role

Key responsibilities & impact

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.
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

Requirements

What you’ll need

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

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonSQLETLML operationsdata pipeline automationdata transformationanalytics production workflowsdata quality validationconfidence scoringanomaly detection

Soft Skills

strong documentation practicesability to maintain auditable process records

Certifications

Top Secret/SCI security clearance eligibility