
Cognitive AI Engineer SWE
Annapolis Junction, MDJobSeen 5 days agoSeen in employer's feed 5 days ago
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At a glance
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Requirements
Credentials this posting asks for.
Job overview
BigBear.ai seeks a Cognitive AI Engineer SWE to build infrastructure-awareness and analytics capabilities. The role aggregates and reconciles data about requested and deployed infrastructure, helping subject matter experts investigate decisions and identify discrepancies. The engineer owns features from concept through production, uses AI-enabled tools to accelerate analysis and development, and collaborates across technical and mission-focused teams.
Skills & qualifications
Skills
Qualifications
Full 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
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Design, develop, and maintain full-stack applications across frontend and backend systems.
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Build and maintain ETL workflows that reconcile requested infrastructure with infrastructure actually deployed.
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Develop scalable, reliable data ingestion and processing capabilities.
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Leverage AI and machine learning tools to accelerate data analysis, prototype solutions, and improve engineering workflows.
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Integrate data products and analytical results into user-focused applications and visualizations.
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Collaborate with full-stack engineers, data specialists, subject matter experts, and organizational stakeholders.
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Help identify discrepancies, policy violations, and deviations from approved infrastructure best practices.
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Drive features from initial concept through implementation, testing, deployment, and continued improvement.
What you need to have
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Active TS/SCI clearance with polygraph.
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Strong proficiency in Python.
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Experience developing data pipelines, ETL workflows, or data processing applications.
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Experience with Kafka and streaming analytics.
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Working knowledge of relational databases.
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Demonstrated ability to use AI/ML tools to accelerate data analysis and engineering solution development.
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Ability to collaborate effectively across technical and mission-focused teams.
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Bachelor’s degree in a technical discipline, or additional relevant experience in lieu of a degree.
Experience Levels
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Level 0: Bachelor’s degree in a technical discipline, or 4 additional years of relevant experience in lieu of a degree.
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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.
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Level 2: 8+ years of experience and a bachelor’s degree, or 4 additional years of relevant experience in lieu of a degree.
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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
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Hands-on experience supporting production cyber network operations capabilities.
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Experience analyzing cybersecurity datasets, including network traffic and operating system events.
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Understanding of end-to-end SIGINT collection and analysis systems.
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Familiarity with ClickHouse.
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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.
How this job compares
Set against the 40,501 open Software Engineer jobs on Olive Jobs, counted November 2, 2026.
- Pay
- This postingNot listed
- Maryland median$120–210K/yr982 salary ranges
- Maryland median$48–69/hr30 hourly ranges
- Openings
- Olive Jobs lists 1,191 open Software Engineer jobs in Maryland and 40,501 across the US. 7% of them nationwide are listed as remote or flexible.
- Hiring the most in Maryland
- Leidos100 open
- Oracle93 open
- GliaCell Technologies76 open
- Experience
- This posting asks for at least 3 years of experience; Software Engineer postings that state a minimum ask for 5 years at the median (32,858 postings).
- Education
- 14,142 of the 40,501 open Software Engineer jobs (35%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 2, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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