Full Stack AI-Enabled Engineer (Junior level)

Job Description

Join Lockheed Martin's digital transformation journey as we accelerate the OneLM Mission-Driven Transformation through our 1LMX program. This strategic priority is reshaping our operations and business processes to better serve our customers in terms of cost, quality, and capabilities, while delivering the speed, agility, and insights necessary to stay ahead of rapidly-evolving threats.

The AI Research and Enterprise Solutions (AIRES) team within the Data & AI Enablement Organization is seeking a talented junior-level full stack engineer looking to grow into AI/ML to support the Virtual Program Assistant team. VPA is a foundational Program Management infrastructure hub for program management, reporting, and analytics, enabling improved and predictable program performance. It leverages enterprise-wide program management applications to compare, compile, and analyze program data to assist the program manager in optimizing program costs and schedules.

What You Will Be Doing:
In this role, you will collaborate with a variety of experts in AI, software engineering, and systems development. You will play a critical role in positioning the organization for long-term success by driving strategic insights, innovation, and competitive edge. You will contribute to the development of cutting-edge solutions that will proactively manage issues, drive continuous improvement, and inform data-driven decision making. Your key responsibilities will include the following

Partnering with application teams to rapidly deploy MVPs for in-house software development, using a build vs. buy approach
Designing, developing, testing, and deploying full stack applications, using a combination of front-end and back-end technologies
Engaging in every phase of the SDLC including requirements, system and software design, implementation, and integration
Collaborating with cross-functional teams to identify and prioritize project requirements
Participating in code reviews, ensuring high-quality code and adherence to best practices
Participating in the development of data-driven products, from concept to deployment, and ensuring seamless integration with existing systems
Designing and developing APIs that effectively leverage data to power intuitive UI components, ensuring seamless data exchange and visualization
Staying up-to-date with emerging trends and technologies in AI-enabled development, and applying this knowledge to improve our development processes and tools

Who You Are:
You are a experienced and innovative Full Stack Engineer with a passion for software engineering, systems development, and solutioning with AI technologies. You have a growth mindset, are curious and enthusiastic about exploring new technologies and solutions, and have a strong desire to stay up-to-date with the latest developments in the field. You're also skilled at leading projects and driving initiatives forward, motivating and guiding teams to achieve their goals. You're agile and flexible, able to navigate complex technical problems with ease, and are comfortable with ambiguity and uncertainty, making you well-suited to drive innovation and improvement.

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.

Lockheed Martin provides the resources and 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!

Basic Qualifications

Experience in software development, with a focus on full-stack engineering
Experience coding with Python
Experience with REACT, OpenShift, and/or Streamlit
Experience or familiarity with ETL (Extract, Transform, Load)
Familiarity with Large Language Models (LLMs) and/or Generative AI (GenAI)
Familiarity with API development and integration, especially leveraging data to power intuitive UI components
Familiarity with cloud-based platforms and containerization (e.g., Docker, Kubernetes)
Familiarity with agile development methodologies and version control systems (e.g., Git)
Excellent communication and collaboration skills, with the ability to work effectively in a team environment

Desired skills

Experience with front-end frameworks (e.g., React, Angular) and back-end frameworks (e.g., Node.js, Django)
Experience with DevOps practices, including CI/CD
Experience with cloud-based platforms (e.g., AWS, Azure, Google Cloud) and containerization (e.g., Docker) and related tools (e.g. Flyte, OpenShift, Watson Studio)
Experience with open source projects
Familiarity with agile development methodologies and version control systems (e.g., Git, JIRA)
Experience building and maintaining data pipelines that support ETL processes
Experience w/ model interpretability, explainability, and transparency
Experience with machine learning techniques and frameworks (e.g. TensorFlow, PyTorch)
Experience designing, training, and deploying machine learning solutions in production
Experience in refining and scaling the machine learning life cycle
Experience in Natural Language Processing (NLP) in production solutions
Experience using LLM frameworks (Langchain, Llama, Hugginface, etc)
Experiencing utilizing predictive analytics techniques (time series, multiple regression, random forest, etc.)
Experience utilizing data visualization tools and packages (Tableau, Shiny, etc.)
Experience with people-centered design principles, including human-centered design methodologies (e.g., design thinking, user experience (UX) design) and user research and testing methods (e.g., usability testing, A/B testing)
Demonstrated experience designing and building solutions in any of the following areas: AI Agents, Named Entity Recognition, Document Classification, Document Summarization, Chatbots, and/or Sentiment Analysis
Working knowledge of deep learning architectures (e.g., CNN, RNN, Transformer)
Working knowledge of graph algorithms and experience with graph databases (e.g. Neo4j)

EEO

Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.
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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At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work.

With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility.

If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications.

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, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $86,100 - $151,800. For states not referenced above, the salary range for this position will reflect the candidate's final work location. 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 $99,000 - $171,580. For states not referenced above, the salary range for this position will reflect the candidate's final work location. 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.