Sr. Mgr. AI Consulting, Lockheed AI Center (LAIC) Full-time

Job Description

When it comes to using cutting-edge machine learning to tackle complex problems, Lockheed Martin is driven by a singular mission focus and desire to continuously innovate. Today’s challenges to global security aren’t just changing – they’re accelerating faster than ever before. Through our dedication to our mission, our AI-enabled systems are changing the way militaries operate and protect their forces, the way first responders fight fires, and how researchers explore the far reaches of space and the ocean’s depths.

The Lockheed Martin Artificial Intelligence Center (LAIC) team is looking for a high-energy, experienced leader with technical expertise in artificial intelligence and machine learning to lead and expand the AI Consulting team within the AI Foundations directorate. This role involves working alongside a diverse team of data engineers, AI/ML developers, full stack developers, MLOps teams, and product managers.

As the successful candidate, you will:
• Lead the AI Consulting team during a significant growth phase, providing support for all Lockheed Martin business areas, digital transformation (1LMX), and external consulting engagements.
• Set the strategy and vision for the AI Consulting team, overseeing day-to-day leadership, designing complex solutions, and addressing intricate AI/ML challenges for Lockheed Martin business areas and external customers.
• Develop and expand an innovative and agile team to quickly iterate and mature solutions from prototypes to deployment, catering to both Lockheed Martin and external clients.
• Provide consultation and mentoring to the corporation on a range of topics, including MLOps best practices, team building, and addressing technical challenges at an enterprise scale.
• Collaborate with AI Foundations, AI Factory (MLOps) team, LAIC, and IT to ensure a cohesive, organization-wide approach to Lockheed’s foundational AI ecosystem, enhancing 21st-century capabilities for customers and internal business operations.
• Implement best technical practices from the fields of machine learning and software engineering.
• Identify tooling gaps within the team and work towards filling those gaps.
• Hire, mentor, and develop team members.
• Share best practices of the team with other Lockheed Martin data science teams by creating and presenting knowledge materials and engaging with other data science leaders on those materials.

This position is virtual/full time telecommuting with travel as required.
Candidates must be US citizens.

What’s In It For You
From onsite to remote, we offer flexible work schedules to comprehensive benefits investing in your future and security, Learn more about Lockheed Martin’s comprehensive benefits package here.
Do you want to be part of a company culture that empowers employees to think big, lead with a growth mindset, and make the impossible a reality? We provide the resources and give you the flexibility to enable inspiration and focus -if you have the passion and courage to dream big, work hard, and have fun doing what you love then we want to build a better tomorrow with you.

Our Commitment to Diversity and Inclusion
We Hear You, We See You. At LM Enterprise Operations we invest in people and promoting the sharing of ideas to create incredible solutions. We know that our success depends on the combined efforts of diverse-thinkers like you! At LM Enterprise Operations, we cultivate an inclusive environment that appreciates differences and unique thinking.
Our global commitment to diversity and inclusion reflects our values of doing what’s right, respecting others and performing with excellence. Learn more here: Global DEI.

Basic Qualifications
• Bachelor’s Degree in Engineering, Computer Science, or a related field.
• 15+ years of experience in Computer Science, AI, or a related engineering discipline.
• A combination of technical and strategic leadership, people management, and vision-setting experience.
• Demonstrated ability to translate business strategy into value creation through data and AI.
• Proven ability to foster a collaborative and inclusive team culture that promotes continuous learning, innovation, and attracts top-tier talent.
• Excellent oral, written, communication, and organizational skills, with experience liaising with executive leadership, customers, and external agencies and partners.
• A proven ability to work cross-functionally and lead data analytics projects from problem definition, data discovery, data preparation, feature engineering, model selection, validation, deployment, and continuous improvement.
• Extensive experience in deploying machine learning solutions into real-world business environments, with a track record of designing and implementing scalable AI/ML systems that drive tangible business value.
• Experience with one or more programming languages (e.g. Python, R, Java, etc.).
• Expertise building advancedLarge Language models (LLMs) / Generative AI workflows such as retrieval augmented generation, model chaining, dynamic prompting, PEFT/SFT, etc. using Langchain, transformers, vLLM, etc.
• Experience training and evaluating Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs/LSTMs), and other model architectures.
• The ability to stay updated on new technologies in the rapidly evolving field of AI.
• Experience with agile management practices and mentoring individuals and teams.

Desired skills
• Experience leading a world-class AI consulting team, managing a wide variety of technical projects for a diverse set of customers.
• Experience in scaling teams during growth phases is highly desirable.
• Demonstrated expertise in the successful application of AI/ML to various applications, such as computer vision, sensors and signals, time series data, manufacturing, operations, and supply chain.
• Experience with MLOps frameworks and pipelines.
• A proven track record of technical and people leadership experience, including leading diverse and dynamic multi-discipline engineering teams.
• Knowledge of AI technology fundamentals, data, and industry trends.
• Understanding of modern DevSecOps (CI/CD) practices and their applicability to AI deployments.
• Familiarity with major cloud computing services (AWS, Azure, etc.) and on-prem distributed computing services.
• Experience in Aerospace and Defense, engineering, manufacturing systems, and business processes.

EEO

Lockheed Martin is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
The application window will close in 90 days; applicants are encouraged to apply within 5 – 30 days of the requisition posting date in order to receive optimal consideration.

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Join us at Lockheed Martin, where your mission is ours. Our customers tackle the hardest missions. Those that demand extraordinary amounts of courage, resilience and precision. They’re dangerous. Critical. Sometimes they even provide an opportunity to change the world and save lives. Those are the missions we care about.

As a leading technology innovation company, Lockheed Martin’s vast team works with partners around the world to bring proven performance to our customers’ toughest challenges. Lockheed Martin has employees based in many states throughout the U.S., and Internationally, with business locations in many nations and territories.

Other Important Information

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

Full-time Remote Telework: The employee selected for this position will work remotely full time at a location other than a Lockheed Martin designated office/job site. Employees may travel to a Lockheed Martin office for periodic meetings.

Work Schedule Information

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 addition to our Paid Time off benefits.

National Pay Statement

Pay Rate:
The annual base salary range for this position in California and New York (excluding most major metropolitan areas), Colorado, Hawaii, Washington or Washington DC is $172,400 – $330,300. Please note that the salary information 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 and business considerations when extending an offer.

Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.
(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.

This position is incentive plan eligible.

Premium Pay Statement

Pay Rate:
The annual base salary range for this position in most major metropolitan areas in California and New York is $198,200 – $373,400. Please note that the salary information 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 and business considerations when extending an offer.
Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.
This position is incentive plan eligible.