Cognitive AI Engineer SWE

Bigbear.ai; Annapolis (MD); On-site; USD 140,000 - 200,000; Full time

Job summary

BigBear.ai is seeking engineers to join a high-impact team delivering infrastructure awareness and analytics. You will aggregate data across sources to show what was requested, what was deployed, and where discrepancies exist, enabling rapid, informed decisions.

This is an end-to-end feature ownership role driving concepts to production with AI-assisted tooling in a mission-focused environment. You will collaborate with cross-functional teams and translate complex data into actionable insights,

Qualifications

• 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.

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.

Skills

Python

ETL workflows

Kafka

Streaming analytics

Relational databases

AI/ML tools

Cross-team collaboration

Education

Bachelor's degree in a technical discipline

Tools

ClickHouse

Job description

Residency

All applicants must currently reside in the United States

Overview

BigBear.ai is seeking a talented engineers to join a high-impact team delivering mission-critical infrastructure awareness and analytics. In this role, you will help aggregate and reconcile data from multiple sources to provide a clear, actionable view of what infrastructure was requested, what was ultimately deployed, and where discrepancies may exist.

Your work will directly support subject matter experts as they investigate infrastructure decisions, develop best practices, and refine deployment rules. You will help identify and surface situations where requested or provisioned infrastructure does not align with established standard enabling stakeholders to respond quickly and make better-informed decisions.

This is an opportunity to own end-to-end feature delivery, from concept through production, while transforming complex data into actionable insights and using AI-enabled tools to accelerate analysis, prototyping, and solution development. You will collaborate with stakeholders across the organization and work in an iterative, mission-focused environment where your contributions have meaningful operational impact.

What you will do

• 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 you need to have

• 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.

Experience Levels

• 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.

What we'd like you to have

• 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.

Pay transparency

Please note the targeted compensation range is provided as an estimate, and any actual compensation offer may vary depending on the needs of the company, or an applicant's skillset, competencies, experience, education, certifications, location, or other factors. The estimated range does not include the value of any benefits offered.

About BigBear.ai

BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity. Customers and partners rely on Bigbear.ai’s predictive analytics capabilities in highly complex, distributed, mission-based operating environments. Headquartered in McLean, Virginia, BigBear.ai is a public company traded on the NYSE under the symbol BBAI. For more information, visit https://bigbear.ai/ and follow BigBear.ai on LinkedIn: @BigBear.ai and X: @BigBearai.

BigBear.ai is an Equal opportunity employer all protected groups, including protected veterans and individuals with disabilities.