Cognitive AI Engineer (SE3)

Bitwise • Columbia, MD

8d • $266,500 - $313,500

About The Position

Bitwise is hiring a Cognitive AI Engineer to join a team delivering mission-critical infrastructure cognizance capabilities for national security customers. The capabilities provide visibility into what infrastructure was requested, what was deployed, and discrepancies between the two. The work supports subject matter experts investigating and developing best practices and deployment rules, surfacing cases where requested or provisioned infrastructure breaks those rules, and proactively alerting stakeholders to potential issues.

The engineer will drive end-to-end feature delivery from concept through production, turning complex data into actionable insights and using AI to accelerate analysis and solution design. The role involves developing full-stack applications, applying AI/ML tools to analyze data and prototype solutions, and building ETL workflows to reconcile requested and realized infrastructure. The engineer will also support scalable, reliable data ingestion and processing, collaborate with full-stack engineers on integration and visualization, and iterate frequently with stakeholders across the organization.

Bitwise describes itself as a small, growing company focused on mission-driven intelligence solutions for the Intelligence Community and Department of Defense. It emphasizes technical excellence, growth, wellness, customer confidence, attention to detail, thought leadership, and employee contributions to its culture and operations. An active TS//SCI clearance with polygraph is required.

Requirements

• An active TS//SCI clearance with polygraph.
• 12+ years of relevant experience with a bachelor's degree in a technical discipline, or 16+ years of relevant experience without a degree.
• Strong proficiency in Python.
• Demonstrated use of AI/ML tools to accelerate data analysis and engineering solution development.
• Experience with Kafka and streaming analytics.
• Working knowledge of relational databases.

Nice To Haves

• Hands-on experience with production CNO capabilities and operations.
• Experience analyzing cybersecurity data sets such as network traffic and OS events.
• Understanding of end-to-end SIGINT collection and analysis systems.
• Familiarity with ClickHouse.
• Proficiency with Git and GitLab.
• Working knowledge of Atlassian tools such as Jira and Confluence.
• Exposure to adjacent domains such as dataflow, data science, or mission analytics.

Responsibilities

• Drive end-to-end feature delivery from concept to production.
• Design and develop full-stack applications, including frontend and backend components.
• Use AI/ML tools to accelerate data analysis and prototype new solutions.
• Develop ETL workflows to reconcile requested and realized infrastructure.
• Ensure scalable and reliable data ingestion and processing.
• Collaborate with full-stack engineers on integration and visualization of results.
• Interact with stakeholders across the organization, iterating frequently to deliver impact.
• Support subject matter experts as they investigate and develop best practices and deployment rules.
• Surface cases where requested or provisioned infrastructure breaks deployment rules and proactively alert stakeholders to potential issues.
• Contribute ideas to improve the company and its culture, and build confidence with customers.

Benefits

• Flexible choice of 3 or 5 weeks of PTO, with corresponding pay adjustment.
• 11 paid federal holidays.
• Up to 2 paid snow days.
• Company 401(k) match described as quadrupling the first 6% contributed, up to a 24% company match; unclaimed match may be provided as extra income.
• 100% employer-paid medical, dental, vision, life, and disability insurance, with the option to exchange the health insurance benefit for a salary increase if already covered.
• $5,250 annual education assistance for training, certifications, tuition, and student loan repayments.
• Spot bonuses for certifications, customer recognition, and other contributions.
• Salary range of $266,500–$313,500, including flex income and dependent on annual work hours.

What This Job Offers

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