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AI Software & System Architect Sr - DevSecOps; on-site, Moorestown NJ

Job in Moorestown, Burlington County, New Jersey, 08057, USA
Listing for: Lockheed Martin
Full Time position
Listed on 2026-01-09
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Position: AI Software & System Architect Sr - DevSecOps (on-site, Moorestown NJ)
Location: Moorestown

Job :  
Date posted: Dec. 04, 2025
Description: Are you ready to join a team that's pushing the boundaries of innovation and making a real impact in the field of artificial intelligence? The Lockheed Martin Artificial Intelligence Center (LAIC) team is seeking a highly motivated and skilled individual to support the Applied AI team and radar track processing product portfolio, Dev Sec Ops , software, data science, data at scale, artificial intelligence, and are passionate about working on a broad range of projects that can make a real difference, we want to hear from you.
What you'll be doing:

• Leading the monitoring and maintenance of fielded AI capabilities and developing new capabilities to enhance ML monitoring and continuous update processes for deployed systems

• Analyzing customer data and assessing ML model performance to identify areas for improvement

• Developing and updating ML models to address evolving operational requirements

• Collaborating with cross-functional teams to rapidly iterate and mature solutions

• Providing continuous maintenance for deployed products using machine learning operations paradigms
Who are you:
You are a highly motivated and skilled individual with:

• A strong working knowledge of radar systems engineering, signal processing, Dev Sec Ops , software, data science, data at scale, artificial intelligence, and machine learning

• Excellent self-motivation, work ethic, time management, and interpersonal skills
The ability to work effectively in a team environment and collaborate with cross-functional teams

• A strong understanding of machine learning operations paradigms and experience with continuous maintenance of deployed products

• The ability to obtain and maintain a security clearance

• A US Citizenship requirement due to the nature of the work

• Ability to work on site at LM Moorestown between 50% and full time, with occasional off-hours work required to meet mission requirements
#LMLAIC
Basic Qualifications:

• Bachelor's Degree in Engineering, Computer Science, or other related discipline

• Skilled in training and analysis steps in a modern MLOps pipeline including labeling, local and global explainability, model export and serialization, conformance testing, deployment, and monitoring

• Experience with Dev Ops tools:
Docker, Git (Git Lab, Git Hub), Continuous Integration (CI), Continuous Deployment (CD)

• Skilled in Python and multiple libraries (Num Py, Sci Py, Pandas, etc.)

• Ability to obtain a Secret government security clearance
Desired

Skills:



• Master's Degree in Engineering, Computer Science, or other related discipline

• Skilled in leading long-term programs related to software and machine learning

• Experience interfacing with databases (SQL, Mongo

DB, etc.)

• Experience with machine learning model training and analysis through open-source frameworks (Pytorch, Tensorflow, Sklearn, Keras, etc)

• Experience with Rust, C++, and other compiled languages

• Experience with test events or integration activities

• Experience coordinating long term program execution across organizations

• Skilled in serving as an external spokesperson on significant technical matters related to software, machine learning, and radar systems
Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration.
Clearance Level: Secret
Other Important Information You Should Know
Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.
Ability to Work Remotely: Onsite Full-time:
The work associated with this position will be performed onsite at a designated Lockheed Martin facility.
Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in…
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