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AI Solutions Engineer - Operations

ExigerHuntsville, AL Or Washington, DC
Hybrid Full-time

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Experience Level

Experience

Qualifications

Required Qualifications:Minimum 4 years of experience in data science, analytics engineering, machine learning operations, or artificial intelligence. Proficient in Python, SQL, and data pipeline tools (Airflow, Spark, pandas, dbt, or similar); familiar with relational and cloud data platforms (PostgreSQL, Snowflake, or equivalent). Demonstrated experience with ETL/ELT processes, data transformation, and analytics production workflows across both structured and semi-structured data sources. Knowledge of ML model deployment and monitoring in cloud environments (AWS, Azure, or equivalent). Experience working under technical supervision within a collaborative government delivery team. Strong documentation skills and the ability to maintain auditable process records. Desired Qualifications:Familiarity with ETL/ELT processes, data transformation, and analytics production workflows across structured and semi-structured data sources. Experience with ML model deployment and monitoring in cloud environments (AWS, Azure, or equivalent).

About the job

Location: Huntsville, AL or Washington, DC
Required Clearance: TS/SCI Eligible
Required Education: High School Diploma or GED
Required Experience: At least 4 years in data science, analytics engineering, machine learning, operations, or artificial intelligence.

Work Arrangement: Hybrid schedule with 3 days onsite and 2 days remote.

Position Overview:

The AI Solutions Engineer will play a pivotal role in supporting the Golden Dome Supply Chain Enterprise program. This position involves executing analytics workflows, managing data ingestion pipelines, and conducting machine learning model operations. Under the guidance of a lead AI Solutions Engineer, the successful candidate will carry out ETL processes, oversee analytics production runs, and maintain pipelines that serve both the Red Team and Blue Team analytic constructs.

Key Responsibilities:

  • Implement ETL pipelines for supply chain data ingestion, including customer technical data packages, transformation, and loading into the Exiger environment.
  • Run and monitor machine learning model inference jobs, promptly reporting anomalies and performance issues to the team lead.
  • Develop and sustain data pipeline automation using Python, SQL, and orchestration frameworks such as Airflow, Spark, or dbt.
  • Generate analytics outputs to support Red Team vulnerability assessments and Blue Team mitigation strategies.
  • Engage in data quality validation workflows and assist in confidence scoring documentation.
  • Support iterative analytics configuration releases based on government feedback cycles.
  • Maintain comprehensive pipeline documentation, run logs, and provenance records as per program governance standards.

About Exiger

Exiger is a leading solution provider specializing in advanced analytics and artificial intelligence. We are dedicated to enhancing operational efficiency and supply chain integrity through innovative technology and expert insights. Join our team and contribute to cutting-edge projects that make a significant impact in the industry.

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