Cognitive AI Engineer SWE
Bigbear
Annapolis Junction, MD · Posted November 5, 2026
Just laid off? Start here: a plan for the first weeks
See every open role at Bigbear
More in Maryland job market · Manufacturing & Industrial · Data & Analytics jobs
More roles at Bigbear
- Mobile Application Developer, (Android Developer) · McLean, VA
- AI/ML Data Engineer · Reston, VA
- Sr. Application Developer Front-End · Washington, DC
- Associate Product Owner · Norfolk, VA
- Application Developer · Annapolis Junction, MD
- Director of Finance & Business Operations
Similar jobs
- AI Information Security Engineer · Tenable Holdings · MD
- Senior AI Information Security Engineer · Tenable Holdings · MD
- SME AI/ML Engineer · Agile Defense · Fort Meade, MD
- Senior AI/ML Engineer · Agile Defense · Fort Meade, MD
- Computer Scientist · Axle · Bethesda, MD
- Backend Engineer | AI Spend Management · Ramp · New York, NY
Where Annapolis Junction, MD ranks
Where Annapolis Junction, MD placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #15Best cities for software and engineering jobs in the Mid-Atlantic147 openings · of 68
- #17Best cities for mid-career professionals in the Mid-Atlantic60% · of 85
- #20Best cities for mid-career professionals60% · of 100
- #24Best cities for junior jobs in the Mid-Atlantic33% · of 85
- #25Best cities for AI-skill jobs in the Mid-Atlantic9% · of 85
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
Data & Analytics jobs · Top Data & Analytics employers · All rankings
How AI is used in this kind of work
Among computer and information research scientists, AI is already used for a large share of the tasks. Measured exposure for computer and information research scientists: 34% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
Say which you have and which you want to build. We use it to match you to jobs like this one.
About the job
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.
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.
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.