AI Solution Engineer- Ops

Reposted 24 Days Ago
2 Locations
Hybrid
Mid level
Information Technology • Consulting
The Role
The AI Solution Engineer executes analytics workflows, maintains data pipelines, monitors ML models, and supports supply chain data ingestion on a hybrid work model.
Summary Generated by Built In

Location: Huntsville, AL or Washington, DC
Required Clearance: TS/SCI Eligible
Required Education: HS/GED
Required Experience: Minimum of 4 years of experience in data science, analytics engineering, ML, operations, or AI

Hybrid: 3 days of onsite/ 2 days remote 

Position Description

This position supports the Golden Dome 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 Exiger AI Solution Engineer lead, executing ETL processes, analytics production runs, and pipeline maintenance that feed the program's Red Team and Blue Team analytic constructs

Responsibilities

•    Execute ETL pipelines for supply chain data ingestion including customer technical data packages, transformation, and loading into the Exiger 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 Red Team vulnerability assessments and Blue Team 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

Required Qualifications

•    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

Desired Qualifications

•    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

Desired Qualifications

•    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

About PingWind

PingWind is focused on delivering outstanding services to the federal government. We have extensive experience in the fields of cybersecurity, development, IT infrastructure, supply chain management and other professional services such as system design and continuous improvement. PingWind is an SBA certified Service-Disabled Veteran-Owned Small Business (SDVOSB) with offices in Northern Virginia and Huntsville AL.
www.PingWind.com

Our benefits include:

·       Eleven Federal Holidays
·       Paid Time Off accrued each pay period
·       Parental Leave
·       Three medical plan choices with generous employer contribution
·       Dental and Vision Insurance
·       Company paid Short-Term and Long-Term Disability
·       Company paid Life and AD&D Insurance
·       401k with competitive matching and vesting schedule 
·       Continuing education assistance
·       Short Term / Long Term Disability & Life Insurance
·       Medical, Dependent Care and Commuter Flexible Spending Accounts
·       Employee Assistance Program 
·       Wellness benefits include Calm Health app and WellHub gym subsidy (formerly GymPass)
·       529 College Savings Plan
·       Legal Insurance 
·       Pet Insurance

Salary Range

$121k-$169k

The pay range for this job is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) job responsibilities, education, certifications, experience, as well as internal equity mapping and alignment with market data, or other applicable laws.

Veterans are encouraged to apply

PingWind, Inc. does not discriminate in employment opportunities, terms, and conditions of employment, or practices on the basis of race, age, gender, religious or political beliefs, national origin or heritage, disability, sexual orientation, or any characteristic protected by law


Skills Required

  • Minimum 4 years of experience in data science, analytics engineering, ML operations, or AI
  • Proficiency in Python, SQL, and data pipeline tools
  • Experience with ETL/ELT processes and data transformation
  • Familiarity with ML model deployment in cloud environments
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The Company
HQ: Annandale, VA
142 Employees
Year Founded: 2012

What We Do

Secure. Modernize. Optimize. PingWind is a CVE certified Service Disabled Veteran Owned Small Business (SDVOSB). We combine cybersecurity, information technology, and supply chain services to help our clients secure information, modernize systems, and optimize performance. Visit our webpage at www.PingWind.com for more information.

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