Cognitive AI Engineer SWE

Bigbear.ai • Columbia, MD

5h

About The Position

BigBear.ai is seeking an engineer to join a high-impact team delivering mission-critical infrastructure awareness and analytics. The role aggregates and reconciles data from multiple sources to show what infrastructure was requested, what was deployed, and where discrepancies may exist. The work supports subject matter experts investigating infrastructure decisions, developing best practices, and refining deployment rules, while helping stakeholders identify mismatches with approved standards and respond with informed decisions.

The engineer owns end-to-end feature delivery, from concept through production, transforming complex data into actionable insights and using AI-enabled tools to accelerate analysis, prototyping, and solution development. The role collaborates with stakeholders across the organization in an iterative, mission-focused environment.

Applicants must currently reside in the United States.

Requirements

• Active TS/SCI clearance with polygraph.
• Strong proficiency in Python.
• Experience developing data pipelines, ETL workflows, or data processing applications.
• Experience with Kafka and streaming analytics.
• Working knowledge of relational databases.
• Demonstrated ability to use AI/ML tools to accelerate data analysis and engineering solution development.
• Ability to collaborate effectively across technical and mission-focused teams.
• Bachelor’s degree in a technical discipline, or additional relevant experience in lieu of a degree.
• Level 0: Bachelor’s degree in a technical discipline, or 4 additional years of relevant experience in lieu of a degree.
• Level 1: 3+ years of experience and a bachelor’s degree in a technical discipline, or 4 additional years of relevant experience in lieu of a degree.
• Level 2: 8+ years of experience and a bachelor’s degree, or 4 additional years of relevant experience in lieu of a degree.
• Level 3: 12+ years of experience and a bachelor’s degree, or 10+ years of experience and a master’s degree.
• Applicants must currently reside in the United States.

Nice To Haves

• Hands-on experience supporting production cyber network operations capabilities.
• Experience analyzing cybersecurity datasets, including network traffic and operating system events.
• Understanding of end-to-end SIGINT collection and analysis systems.
• Familiarity with ClickHouse.
• Exposure to related domains such as dataflow, data science, mission analytics, or operational technology environments.

Responsibilities

• Design, develop, and maintain full-stack applications across frontend and backend systems.
• Build and maintain ETL workflows that reconcile requested infrastructure with infrastructure actually deployed.
• Develop scalable, reliable data ingestion and processing capabilities.
• Leverage AI and machine learning tools to accelerate data analysis, prototype solutions, and improve engineering workflows.
• Integrate data products and analytical results into user-focused applications and visualizations.
• Collaborate with full-stack engineers, data specialists, subject matter experts, and organizational stakeholders.
• Help identify discrepancies, policy violations, and deviations from approved infrastructure best practices.
• Drive features from initial concept through implementation, testing, deployment, and continued improvement.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level