AI Data Engineer

The AI Data Engineer will design, develop, and maintain data pipelines and architectures to support AI/ML workloads for the Army Intelligence & Security Enterprise (AISE). This role ensures data availability, quality, security, and operational integration to enable advanced analytics and decision-making. The AI Data Engineer will collaborate with cross-functional teams, optimize data workflows, and contribute to intelligence solutions., * Translate business requirements into logical data models to support entity relationships and data flows.

• Design and implement scalable data pipelines for AI and machine learning workloads.
• Develop and maintain data architectures to ensure data quality, availability, and security.
• Collaborate with internal teams and external stakeholders to meet AI/ML data requirements.
• Optimize data workflows for real-time analytics and decision-making.
• Ensure adherence to data governance policies and security protocols.\
• Stay current on data engineering, AI, and machine learning advancements.
• Support the operational deployment and integration of AI/ML solutions to enhance intelligence capabilities.
• Analyze complex data challenges and deliver practical, innovative technical solutions aligned with organizational goals.
• Engage frequently with internal and external stakeholders to resolve technical issues and deliver impactful solutions.
• Contribute to the successful delivery of programs and projects.

• Bachelors degree and five (5) years or more related experience; Masters and two (2) years or more experience; PhD or JD and zero (0) years or more experience., * 5+ years of experience in systems engineering, data engineering, data architecture, or similar roles.
• Expertise with Palantir Foundry; particularly with Ontologies, Object Types, Data Pipelines, and AIP tools).
• Strong knowledge of data pipeline design, ETL processes, and database management.
• Proficiency in programming languages such as Python, SQL, and TypeScript; and object-oriented development.
• Experience utilizing Large Language Models (LLMs) for tasks like NLP, text generation, and conversational AI
• Familiarity with data governance, security practices, and compliance standards.
• Excellent analytical, problem-solving, and teamwork abilities.

Desired Qualifications:

• Experience with Apache Spark or other distributed computing platforms.
• Palantir Foundry Certification.
• Experience with AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, AWS SageMaker).
• Proficiency in real-time data processing and analytics platforms.
• Knowledge of Army Intelligence Enterprise data workflows and requirements.
• Strong understanding of MLOps practices and supporting tools.
• Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud).

Clearance:

• Candidate must have an active TS/SCI clearance with the ability to obtain a TS/SCI with Poly.