AI Data Engineer

@ SAIC

Overview

SAIC is seeking an AI Data Engineer to join our team in Fort Belvoir, Virginia. In this role, you will design, develop, and maintain data pipelines and architectures to support AI and machine learning workloads within the Army Intelligence & Security Enterprise (AISE).

Key Responsibilities

• Design and implement scalable data pipelines for AI and ML workloads.
• Develop and maintain robust data architectures ensuring quality, availability, and security.
• Collaborate with internal teams and external partners to meet data requirements.
• Optimize data workflows for real-time analytics and decision-making.
• Ensure compliance with data governance and security protocols.
• Stay updated on advancements in data engineering, AI, and ML technologies.
• Support the operational integration of AI/ML solutions within military intelligence.

Required Education & Experience

Bachelor's degree with 5+ years or Master's with 3+ years or PhD/JD with no experience required; four years of experience may substitute a degree.

Qualifications

• Strong understanding of data pipeline design, ETL processes, and database management.
• Proficiency in Python, SQL, and R.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Familiarity with Large Language Models (LLMs) for NLP, text generation, and summarization.
• Knowledge of data governance, security, and compliance standards.
• Excellent problem-solving and collaboration skills.

Desired Qualifications

• Experience with AI/ML frameworks (TensorFlow, PyTorch, AWS SageMaker).
• Real-time data processing and analytics platforms expertise.
• Understanding of Army Intelligence Enterprise data requirements.
• Familiarity with MLOps practices and tools.

Clearance

Candidates must have an active TS/SCI clearance, with the ability to obtain TS/SCI with Polygraph.

Key skills/competency

• Data Engineering
• AI
• ML
• ETL
• Data Architecture
• Python
• SQL
• Cloud Platforms
• Security
• Data Governance