AI Solution Engineer focusing on AI/ML and data execution within platform engineering for federal agencies. Collaborating with a Solution Architect on sprint - based platform releases.
About the role
- 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.
Responsibilities
- 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
- 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
- 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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