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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Solution Engineer- Ops - **Company:** PINGWIND INC - **Location:** Huntsville, AL, United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Extract Transform Load (ETL), Data Transformation, Python (Programming Language), PostgreSQL, Machine Learning, Cloud Services, Red Team (Cyber Security), SQL Databases, Technical Data Management Systems, Data Processing, Cloud Platform System, Data Ingestion, Snowflake, Apache Spark, Pandas, Containerization, Kubernetes, Machine Learning Operations, Data Pipelines, Blue Team (Cyber Security), Docker, Vulnerability Analysis - **Published:** June 10, 2026 - **Apply:** https://www.clearancejobs.com/jobs/8967578/ai-solution-engineer-ops ## About the Role 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, * 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, * 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 ## 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, * 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 ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Navigating the AI Wave in DevOps](https://www.wearedevelopers.com/videos/853-navigating-the-ai-wave-in-devops) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Got AI ideas but no money? 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