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Senior Engineer - AI Data Scientist

BAE Systems

Broomfield, CO · HybridFull-time$97–165K/yrSeen todaySeen in employer's feed today

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At a glance

Compensation
$97–165K/yr
Location
Broomfield, COHybrid
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

BAE Systems seeks an AI Data Scientist for its Space and Mission Systems Division to develop intelligent systems and support operational capabilities. The role leads complex analytical projects, mentors analysts and data scientists, and designs machine-learning solutions focused on LLMs, agentic frameworks, and RAG. It requires regular on-site work three or more days each scheduled week and collaboration with stakeholders to turn business needs into technical solutions.

Skills & qualifications

RequiredNice to have

Skills

PythonSQLMachine LearningStatistical MethodsData ModelingLLM Application DesignAgent WorkflowsTool DesignRAGPrompt EngineeringContext EngineeringAgent System DesignEvaluation TechniquesLLM CapabilitiesEmbeddingsVector DatabasesRetrieval SystemsDataikuStack AIOpen WebUI

Qualifications

4+ Years Related ExperienceBS in Engineering or Related Technical Field

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Match
Paid Time Off
Parental Leave

Full job description

Job Description

At BAE Systems Space and Mission Systems (SMS), we design and deliver advanced defense, intelligence, and security solutions that protect national interests and enable mission success. Our teams tackle complex, highimpact challenges using cutting-edge technology, rigorous engineering, and data-driven insight. We are seeking an AI Data Scientist to help shape the next generation of intelligent systems across our Space and Mission Systems Division.

The Operations Strategic Capabilities Unit plays a fundamental role in enabling efficient business and program execution from strategic capital investments, industrial operations and an efficient supply chain, to state-of-the-art manufacturing and test operations and top-notch facilities management.

What You ll Do:

  • Lifecycle Leadership: Adhere to and actively promote the MPA project lifecycle and Data Integration, Reporting/Visualization processes and best practices.

  • Project Ownership: Independently lead high-complexity, cross-functional, or ambiguous analytical projects. Demonstrate solid problem decomposition skills to turn vague business needs into concrete technical roadmaps.

  • Technical Mentorship: Provide direct technical guidance and mentorship to less-experienced analysts and data scientists. Promote best practices in experimentation, modeling, and code quality across the entire team.

  • Operational Management: Accurately estimate and budget hours and milestone dates for assigned projects: track and report on hours to ensure alignment with budget and schedule.

  • Quality Assurance: Maintain a high standard of delivery where technical errors are minimized and manageable, ensuring stability in tool deployments.

  • AI Development: Design, develop, and deploy robust machine-learning algorithms, with a specific focus on Large Language Models (LLMs), Agentic frameworks, and RAG (Retrieval-Augmented Generation) systems.

  • Stakeholder Collaboration: Work directly with a wide range of stakeholders to translate complex business requirements into actionable, user-driven technical solutions.

  • Maintain a regular and predictable work schedule.

  • Establish and maintain effective working relationships within the department, the Strategic Business Units, Strategic Capabilities Units and the Company. Interact appropriately with others in order to maintain a positive and productive work environment.

  • Perform other duties as necessary.

On-Site Work Environment: This position requires regular in-person engagement by working on-site three or more days each normally scheduled week in the primary work location. Travel and local commute between company campuses and other possible non-company locations may be required.

Working Conditions:

  • Work is performed in an office, laboratory, production floor, or cleanroom, outdoors or remote research environment.

  • May occasionally work in production work centers where use of protective equipment and gear is required.

  • May access other facilities in various weather conditions.

Required Education, Experience, & Skills

  • BS degree or higher in Engineering or a related technical field is required plus 4 or more years related experience.

  • Each higher-level degree, i.e., Master s Degree or Ph.D., may substitute for two years of experience. Related technical experience may be considered in lieu of education. Degree must be from a university, college, or school which is accredited by an agency recognized by the US Secretary of Education, US Department of Education.

  • Proficiency in Python and SQL.

  • Solid Data Science background in Machine Learning (ML), statistical methods, and data modeling techniques.

  • Experience designing AI-driven applications using API-accessible LLMs (agent workflows, tool design, RAG).

  • Solid understanding of prompt/context engineering and system design for agent-like architectures and evaluation techniques.

  • Extensive knowledge of modern LLM capabilities, limitations, and failure modes.

  • Experience with embeddings, vector databases, and retrieval systems.

  • Experience with AI workflow platforms (Dataiku, Stack AI, Open WebUI).

#LI- JL2

Pay Information

Full-Time Salary Range: $97008 - $164914

Please note: This range is based on our market pay structures. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, and internal equity, as well as candidate qualifications, such as skills, education, and experience.

Employee Benefits: At BAE Systems, we support our employees in all aspects of their life, including their health and financial well-being. Regular employees scheduled to work 20 hours per week are offered: health, dental, and vision insurance; health savings accounts; a 401(k) savings plan; disability coverage; and life and accident insurance. We also have an employee assistance program, a legal plan, and other perks including discounts on things like home, auto, and pet insurance. Our leave programs include paid time off, paid holidays, as well as other types of leave, including paid parental, military, bereavement, and any applicable federal and state sick leave. Employees may participate in the company recognition program to receive monetary or non-monetary recognition awards. Other incentives may be available based on position level and/or job specifics.

Senior Engineer - AI Data Scientist

132154BR

EEO Career Site Equal Opportunity Employer. Minorities . females . veterans . individuals with disabilities . sexual orientation . gender identity . gender expression

How this job compares

Set against the 1,523 open Senior Engineer jobs on Olive Jobs, counted November 3, 2026.

Pay
  • This posting$97–165K/yr
  • Colorado median$120–165K/yr35 salary ranges
  • US median$108–190K/yr1,213 salary ranges

This range's midpoint, $131K, is 9% below the Colorado median midpoint ($144K) — in the middle half of Senior Engineer salary ranges in Colorado.

Openings
Olive Jobs lists 39 open Senior Engineer jobs in Colorado and 1,523 across the US. 5% of them nationwide are listed as remote or flexible.
Hiring the most in Colorado
Experience
This posting asks for at least 4 years of experience — less than three in four Senior Engineer postings that state a minimum ask for (median 5 years, across 1,395 postings).
Education
986 of the 1,523 open Senior Engineer jobs (65%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 3, 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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