AI Data Engineer

Saic; Fort Belvoir (VA); On-site; USD 100,000 - 130,000; Full time

Job summary

Saic is seeking an AI Data Engineer to join our team at Fort Belvoir, Virginia. The ideal candidate will design, develop, and maintain data pipelines and architectures supporting AI/ML workloads for Army Intelligence. Responsibilities include optimizing data workflows and ensuring data quality and security.

This position requires a Bachelor's degree and five or more years of experience in relevant fields. Candidates must have a current TS/SCI clearance and the ability to obtain a TS/SCI with Poly.

Qualifications

• 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.
• Proficiency in programming languages such as Python, SQL, and TypeScript.

Responsibilities

• Translate business requirements into logical data models.
• Design and implement scalable data pipelines for AI workloads.
• Collaborate with internal teams to meet AI/ML data requirements.

Skills

Systems engineering

Data engineering

Data architecture

Palantir Foundry

ETL processes

Python

SQL

TypeScript

Large Language Models

Data governance

Education

Bachelor's degree

Master's degree

PhD

Tools

Apache Spark

TensorFlow

PyTorch

AWS

Azure

Google Cloud

Job description

Description

SAIC is seeking an AI Data Engineer to join our team at Fort Belvoir, Virginia.

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.

Key Responsibilities

• 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.

Qualifications

Required Education

• 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.

Qualifications

• 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.