Are you a visionary leader with a passion for artificial intelligence, machine learning, and full stack engineering? Do you have a proven track record of driving innovation and delivering results in a fast-paced environment? The Lockheed Martin Artificial Intelligence Center (LAIC) - AI Consulting team is seeking a highly experienced technical manager to lead a team of AI/ML engineers in the development and deployment of artificial intelligence and machine learning solutions. The successful candidate will have a strong technical background in AI/ML, excellent leadership and communication skills, and the ability to manage and motivate a team of engineers. Your key responsibilities will include leading a team of AI/ML engineers in the development, test and deployment of AI/ML Solutions, provide technical guidance and oversight to the team, ensuring that projects are completed on time and to a high standard, collaborate with cross-functional teams to identify business opportunities and develop associated statistical models, develop and implement best practices for AI/ML engineering, including software development, testing, and deployment, manage the team's workload, prioritize tasks, and allocate resources to ensure efficient and effective project delivery, mentor and develop team members, providing guidance and support to help them grow in their careers, communicate technical information to non-technical stakeholders, including project status, technical risks, and recommendations as well as staying up-to-date with the latest developments in AI/ML and identify opportunities to apply new technologies and techniques to business problems.
Leads those focused on research & development of technologies that enable and advance semi and fully autonomous systems for both defense and commercial customers. Serves as the algorithm expert with up-to-date knowledge on modern AI research and may be involved in the inception of ideas and drive the development cycles from research to test of prototypes for a major project or component of a major project.Leads the research and discovery of improvements to machine learning and robotic algorithms; Drives advancements in techniques used in signal processing, computer vision (CV), and control systems; Develops AI algorithms for mission systems; Applies latest research on AI algorithms and trains machine learning / deep learning models to solve a variety of problems; Investigates and applies the latest machine learning and deep learning techniques; Optimizes the performance of AI algorithms, applications, and platforms; Develops and documents algorithm and implementation requirements; Develops prototypes that will enable autonomous functionality in LM products and platforms; Interfaces with other teams involved the development lifecycle for perception, mission and motion planning, simulation and modeling, testing, etc.
-Master's degree or Ph.D. in
Computer Science, Engineering, or a
related field
-Experience with Agile development
methodologies, including Scrum or
Kanban
-Knowledge of DevOps practices,
including continuous integration and
continuous deployment
-Experience with containerization,
including Docker or Kubernetes
-Familiarity with common Python
libraries used for developing
reinforcement learning applications
-Experience with the design,
implementation, and evaluation of
models, agents, and software
prototypes for real-world AI
applications
- Ability to work in a fast-paced
environment with multiple priorities
and deadlines
- Strong problem-solving skills, with
the ability to analyze complex
problems and develop creative
solutions
- Certified ScrumMaster or Agile PM
credential
-Bachelor's degree in Computer
Science, Engineering, or a related
field, with experience in AI/ML engineering
-Proven experience in leading a team
of engineers, with a strong track
record of delivering projects on time
and to a high standard
-Excellent technical skills in AI/ML,
including programming languages
such as Python, Java, or C++
-Strong knowledge of AI/ML
frameworks and tools, including
TensorFlow, PyTorch, or Scikit-learn
-Experience with cloud platforms,
including AWS, Google Cloud, or
Azure
-Excellent communication and
leadership skills, with the ability to
motivate and manage a team of
engineers
-Strong business acumen, with the
ability to understand business needs
and develop solutions that meet those needs
Pay Information
GeoZone Definition: GeoZones are geographic groupings created by Lockheed Martin to align compensation ranges with regional labor markets and cost-of-labor differences across the United States. Locations are assigned a Geo Zone based on the primary work location of the role.
- Full-time salary range (GEOZONE 1): $150800.00 - $280000.00
- Includes metropolitan areas such as Sunnyvale CA; Pal Alto, CA; New York City metropolitan area; Newark, New Jersey; etc.
- Full-time salary range (GEOZONE 2): $135700.00 - $251900.00
- Includes metropolitan areas such as Denver, CO; King of Prussia, PA; Stratford, CT; Moorestown, NJ; etc.
- Full-time salary range (GEOZONE 3): $120600.00 - $224000.00
- Includes metropolitan areas such as Dallas–Fort Worth, TX; Orlando, FL; Grand Prairie, TX; Marietta, GA; etc.
- Full-time salary range (GEOZONE 4): $108600.00 - $201600.00
- Includes metropolitan areas such as Camden, AR; Lexington, KY; Lufkin, TX; etc.
At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow—both professionally and personally.
The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only.
Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer.
Benefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability.
- Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics.
- For (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.
Skills Required
- Bachelor's degree in Computer Science, Engineering, or a related field
- Experience in AI/ML engineering
- Proven experience leading a team of engineers
- Track record of delivering projects on time and to a high standard
- Excellent technical skills in AI/ML
- Programming experience with Python, Java, or C++
- Strong knowledge of AI/ML frameworks and tools, including TensorFlow, PyTorch, or Scikit-learn
- Experience with cloud platforms, including AWS, Google Cloud, or Azure
- Excellent communication and leadership skills
- Ability to motivate and manage a team of engineers
- Strong business acumen and ability to develop solutions aligned with business needs
- Master's degree or Ph.D. in Computer Science, Engineering, or a related field
- Experience with Agile methodologies, including Scrum or Kanban
- Knowledge of DevOps practices, including continuous integration and continuous deployment
- Experience with containerization, including Docker or Kubernetes
- Familiarity with Python libraries for reinforcement learning applications
- Experience designing, implementing, and evaluating models, agents, and software prototypes for real-world AI applications
- Ability to work in a fast-paced environment with multiple priorities and deadlines
- Strong problem-solving skills and ability to develop creative solutions
- Certified ScrumMaster or Agile PM credential
Lockheed Martin Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Lockheed Martin and has not been reviewed or approved by Lockheed Martin.
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Retirement Support — Retirement benefits are described as a standout element, with a strong 401(k) program and options like an employee stock purchase plan. Feedback suggests these features meaningfully enhance total compensation and long‑term financial security.
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Healthcare Strength — Healthcare coverage is portrayed as comprehensive from day one, with multiple plan options, mental health resources, and virtual care. Wellness supports such as on‑site services and preventive programs are also highlighted.
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Flexible Benefits — Work arrangements often include compressed schedules and telework, contributing to a favorable work‑life balance. Feedback suggests this flexibility is a key reason many view the overall package positively.
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