Senior Engineer - AI Data Scientist

Posted Yesterday
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Broomfield, CO, USA
Hybrid
97K-165K Annually
Senior level
Aerospace • Hardware • Information Technology • Security • Software • Cybersecurity • Defense
Where purpose connects.
The Role
Leads complex data science and AI initiatives, developing and deploying machine-learning solutions centered on LLMs, agentic workflows, and RAG systems. Translates stakeholder needs into technical roadmaps, mentors analysts and data scientists, manages project budgets and schedules, ensures quality, and designs reliable AI applications using embeddings, vector databases, retrieval systems, and AI workflow platforms.
Summary Generated by Built In
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, high-impact 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.
About BAE Systems, Inc.
BAE Systems, Inc. is the U.S. subsidiary of BAE Systems plc, an international defense, aerospace and security company which delivers a full range of products and services for air, land and naval forces, as well as advanced electronics, security, information technology solutions and customer support services. Improving the future and protecting lives is an ambitious mission, but it's what we do at BAE Systems. Working here means using your passion and ingenuity where it counts - defending national security with breakthrough technology, superior products, and intelligence solutions. As you develop the latest technology and defend national security, you will continually hone your skills on a team-making a big impact on a global scale. At BAE Systems, you'll find a rewarding career that truly makes a difference.
Headquartered in Boulder, Colorado, Space & Mission Systems is a leading provider of national defense and civil space applications, advanced remote sensing, scientific and tactical systems for government and commercial customers. We continually pioneer ways to innovate spacecraft, mission payloads, optical systems, and other defense and civil capabilities. Powered by endlessly curious people with an unwavering mission focus, we continually discover ways to enable our customers to perform beyond expectation and protect what matters most.
This position will be posted for at least 5 calendar days. The posting will remain active until the position is filled, or a qualified pool of candidates is identified.
Multiple positions may be available on this opening.

Skills Required

  • Bachelor’s degree or higher in Engineering or a related technical field
  • Four or more years of related experience
  • Related technical experience may substitute for education
  • Proficiency in Python and SQL
  • Experience with machine learning, statistical methods, and data modeling techniques
  • Experience designing AI-driven applications using API-accessible LLMs, agent workflows, tool design, and RAG
  • Understanding of prompt engineering, context engineering, agent-like system architectures, and evaluation techniques
  • Extensive knowledge of modern LLM capabilities, limitations, and failure modes
  • Experience with embeddings, vector databases, and retrieval systems
  • Experience with Dataiku, Stack AI, or Open WebUI

What the Team is Saying

BAE Systems, Inc. Compensation & Benefits Highlights

  • Retirement Support — Retirement benefits stand out with a 401(k) savings plan and company matching, emphasizing long-term financial security. This area is consistently positioned as one of the stronger components of the package.
  • Parental & Family Support — Family programs are notably broad, including paid parental leave, adoption and surrogacy reimbursement, dependent‑care accounts, and child‑ and elder‑care resources. In the U.S., up to 10 subsidized days of backup care per year further support caregivers.
  • Healthcare Strength — Health coverage spans medical, dental, and vision options alongside HSAs/FSAs, mental‑health support, and an Employee Assistance Program. The breadth of offerings provides solid baseline protection across common healthcare needs.

BAE Systems, Inc. Insights

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The Company
HQ: Falls Church, VA
40,000 Employees
Year Founded: 1999

What We Do

Improving the future and protecting lives is an ambitious mission, but it’s what we do. As a leading aerospace, defense, and security company, we work together to deliver a full range of products and services for air, land, space, and naval forces, as well as advanced electronics, security, information technology solutions and customer support services. How we work is rooted in purpose – a purpose to protect those who protect us, to unite our community of colleagues and customers, and to drive forward the growth and development of our exceptional team members. It's where purpose connects.

Why Work With Us

We believe your career should be filled with innovation and discovery. And that's exactly what you'll find at BAE Systems. As you work to develop the latest technology and defend national security, you will continually hone your skills and expand knowledge. On a sharp and collaborative team, you will be challenged – and supported – at every turn.

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BAE Systems, Inc. Teams

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Space & Mission Systems
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Electronic Systems
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Intelligence & Security
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Platforms & Services
About our Teams

BAE Systems, Inc. Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

As the work place continues to evolve, so do we. Remote and hybrid opportunities are available at BAE Systems depending on the nature of the role. Check your job requisition to learn more.

Typical time on-site: Not Specified
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HQBAE Systems, Inc. headquarters
Annapolis Junction, MD
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Austin, TX
Boulder, CO
Company Office Image
Space & Mission Systems headquarters
Burlington, MA
Cedar Rapids, IA
Dallas, TX
Endicott, NY
Fort Wayne, IN
Greenlawn, NY
Huntsville, AL
Jacksonville, FL
Los Angeles, CA
Maple Grove, MN
Intelligence & Security headquarters
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Electronic Systems headquarters
Redmond, WA
San Diego, CA
San Jose, CA
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Sterling Heights, MI
Washington, DC
Wayne, NJ
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