Senior Full Stack AI-Enabled Developer

Lockheed Martin; Town of Texas (WI); Remote; USD 104,000 - 185,000; Full time

Job summary

An established industry player is seeking a Senior Full Stack AI-Enabled Developer to join their innovative team. This role emphasizes collaboration with application teams to rapidly deploy MVPs and contribute to AI-driven development tools. Candidates should be passionate about learning and growth, thriving in a dynamic environment. The position offers the chance to work on cutting-edge projects, utilizing technologies like TensorFlow and Docker, while focusing on user-centered design principles. If you're ready to take on challenges and make an impact in the AI space, this opportunity is perfect for you.

Benefits

Medical Insurance

Dental Insurance

Vision Insurance

401(k) Match

Paid Time Off

Flexible Work Schedule

Education Assistance

Parental Leave

Life Insurance

Long-Term Disability

Qualifications

• Experience designing and deploying machine learning solutions in production.
• Proficient in developing full stack applications using front-end and back-end technologies.

Responsibilities

• Design, develop, test, and deploy full stack applications.
• Collaborate with teams to identify and prioritize project requirements.

Skills

Python

SQL

Machine Learning

Natural Language Processing (NLP)

Data Visualization

Agile Methodologies

Communication Skills

People-Centered Design

Software Design Principles

Education

Bachelor's Degree in Computer Science

Master's Degree in Artificial Intelligence

Tools

TensorFlow

PyTorch

Docker

Tableau

Git

JIRA

Job description

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Join to apply for the Senior Full Stack AI-Enabled Developer role at Lockheed Martin

• Partner with application teams to rapidly deploy MVPs for in-house software development, using a build vs. buy approach
• Contribute to the development of IDE application/tools patterns for AI-driven development within EBDT
• Design, develop, test, and deploy full stack applications, using a combination of front-end and back-end technologies
• Collaborate with cross-functional teams to identify and prioritize project requirements
• Participate in code reviews, ensuring high-quality code and adherence to best practices
• Experience designing, training, and deploying machine learning solutions in production
• Experience in refining and scaling the machine learning life cycle
• Participate in the development of data-driven products, from concept to deployment, and ensure seamless integration with existing systems
• Familiarity with front-end frameworks (e.g., React, Angular) and back-end frameworks (e.g., Node.js, Django)
• Demonstrated Natural Language Processing (NLP) experience in production solutions
• Experiencing utilizing predictive analytics techniques (time series, multiple regression, random forest, etc.)
• Experience utilizing data visualization tools and packages (Tableau, Shiny, etc.)
• Working knowledge of machine learning techniques and frameworks (e.g. TensorFlow, PyTorch)
• Proficient with software system design principles and coding best practices
• Experienced in Python and SQL
• Experience building and maintaining data pipelines that support ETL processes
• Experience working on collaborative software engineering teams, including open source projects
• Stay up-to-date with emerging trends and technologies in AI-enabled development, and apply this knowledge to improve our development processes and tools
• Work in a fast-paced, start-up like environment, with a focus on innovation, experimentation, and continuous learning
• Apply people-centered design principles to ensure that our applications are meet the needs of our user base
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment
• Self-starter who works well with ambiguity
• Strong understanding of software design patterns, principles, and best practices
  
  

Basic Qualifications

• Partner with application teams to rapidly deploy MVPs for in-house software development, using a build vs. buy approach
• Contribute to the development of IDE application/tools patterns for AI-driven development within EBDT
• Design, develop, test, and deploy full stack applications, using a combination of front-end and back-end technologies
• Collaborate with cross-functional teams to identify and prioritize project requirements
• Participate in code reviews, ensuring high-quality code and adherence to best practices
• Experience designing, training, and deploying machine learning solutions in production
• Experience in refining and scaling the machine learning life cycle
• Participate in the development of data-driven products, from concept to deployment, and ensure seamless integration with existing systems
• Familiarity with front-end frameworks (e.g., React, Angular) and back-end frameworks (e.g., Node.js, Django)
• Demonstrated Natural Language Processing (NLP) experience in production solutions
• Experiencing utilizing predictive analytics techniques (time series, multiple regression, random forest, etc.)
• Experience utilizing data visualization tools and packages (Tableau, Shiny, etc.)
• Working knowledge of machine learning techniques and frameworks (e.g. TensorFlow, PyTorch)
• Proficient with software system design principles and coding best practices
• Experienced in Python and SQL
• Experience building and maintaining data pipelines that support ETL processes
• Experience working on collaborative software engineering teams, including open source projects
• Stay up-to-date with emerging trends and technologies in AI-enabled development, and apply this knowledge to improve our development processes and tools
• Work in a fast-paced, start-up like environment, with a focus on innovation, experimentation, and continuous learning
• Apply people-centered design principles to ensure that our applications are meet the needs of our user base
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment
• Self-starter who works well with ambiguity
• Strong understanding of software design patterns, principles, and best practices
  
  

Job Code/Title

E9853:A/AI Mch Learn Engnr Sr

Job Description

We are seeking an experienced full stack AI-enabled developer to join our team. As a key member of our team, you will partner with application teams and business stakeholders to rapidly deploy Minimum Viable Products (MVPs) for in-house software development, and contribute to establishing IDE application/tools patterns for AI-driven development. We are looking for individuals who are passionate about learning and growth, with a desire to work in a dynamic and rapidly changing environment. You should be comfortable with ambiguity, and able to adapt quickly to new technologies, processes, and priorities. A growth mindset, learning agility, and a willingness to take calculated risks are essential for success in this role. As a member of our team, you will have the opportunity to work on challenging and rewarding projects, with a focus on innovation and experimentation. You will be part of a collaborative and dynamic team, with access to cutting-edge technologies and tools.

Desired Skills

• Experience developing and managing containerized services in cloud environments (e.g. Flyte, OpenShift, Watson Studio)
• Knowledge of cloud-based platforms (e.g., AWS, Azure, Google Cloud) and containerization (e.g., Docker)
• Familiarity with agile development methodologies and version control systems (e.g., Git, JIRA)
• Experience with DevOps practices, including continuous integration and continuous deployment (CI/CD)
• 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 at least one 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)
  
  

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.

Select the Telework classification for this position

Employee that will telework full-time

Ability to Telecommute

Full time telecommuter

Shift

First

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.

Work Schedule

4x10 hour day, 3 days off per week

Security Clearance

None

LMCareers Business Unit

ENTERPRISE BUSINESS SERVICES

Department

50168:Chief Data & Analytics Officer

Job Class

Artificial Intelligence

Job Category

Experienced Professional

City, State

Bethesda-MD, Fort Worth-TX, Littleton-CO, Orlando-FL, SUNNYVALE-CA

City

Bethesda, Fort Worth, Littleton, Orlando, Sunnyvale

Zip

20817, 32825, 76108, 80127, 94089

Virtual

yes

Relocation/Housing Stipend Available

No

Req Type

Full-Time

Direct/Indirect

Indirect

• 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.

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.

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, Washington or Washington DC is $104,900 - $184,920. 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 $120,600 - $209,070. 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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Defense and Space Manufacturing

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