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Principal AI Software Engineer

Job in Baltimore, Anne Arundel County, Maryland, 21276, USA
Listing for: Northrop Grumman
Full Time position
Listed on 2026-02-16
Job specializations:
  • Engineering
    Data Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

RELOCATION ASSISTANCE:
No relocation assistance available CLEARANCE TYPE:
Secret TRAVEL:
Yes, 10% of the Time

Description

At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon.

We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work — and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.

The Mission Systems (MS) Sector (MI&I) Manufacturing Integration and Infrastructure (A&I) Analytics and Insight organization is seeking a highly skilled Principal AI Software Engineer located in Baltimore, MD to lead the implementation of strategic operations and program execution Artificial Intelligence initiatives. In support of MS multiple divisions, the individual will be responsible for developing and leading complex data engineering and data science projects.

This role will be central in designing and implementing secure, scalable data infrastructure that powers critical decision-making across manufacturing operations, engineering, and program management, extracting actionable insights from large datasets, collaborating with cross-functional teams to translate data into business strategies. Responsibilities also include mentoring data engineers and data scientists in ETL workflows development, and ML/AI advanced modelling techniques. This individual will develop and apply advanced technical principles, theories, and concepts across the MS Sector Divisions, Operating and Business units to support strategic planning, project execution, development of operational business opportunities, to drive schedule and cost reductions while maintaining absolute quality.

The individual will interact and consult regularly with MS Program leadership, supporting Functional leadership and MS Executive Leadership Team (ELT)

"This position may be filled in a virtual capacity at the Baltimore, MD location. Candidates are required to be local to the area and selection will be based on the most qualified candidate".

Key Responsibilities
  • Participate in the planning, design, development and implementation of ML/AI solutions to address ongoing business performance opportunities and performance improvement.
  • Apply ML algorithms to large sets of structured data to solve broad range of operations, engineering, and program management challenges that include application in pattern recognition, machine learning decision systems and process robotic automation.
  • Develop and support data architecture(s), data pipelines and data management solutions.
  • Perform all aspects of data engineering from initial data management plan and ICD development through test, implementation, and maintenance.
  • Optimize data collection and dissemination to existing software tools and data reduction suites.
  • Troubleshoot bus data collection systems and system issues.
  • Work in a fast-paced, Agile/Scrum based environment.
  • Implement process changes to improve business outcomes.
  • Support cross-team development efforts for multiple projects, including data cleanup, ingestion, and linkage with other data sets.
  • Document design, deployment and operating procedures for each work product.
  • Present data in a meaningful way (insights, visualizations) to executive management.
  • Other duties as assigned.
Basic Qualifications for the Principal AI Software Engineer:
  • Bachelor’s degree in engineering, data engineering, data analytics, business analytics, or related field and 5 or more years of experience; OR a master’s degree and 3 or more years of related experience
  • Experience communicating effectively to all levels of an organization with the ability to translate concepts into practical…
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