\\\\Description:\\\\ The Lockheed Martin AI Factory Apps team within Enterprise Operations is seeking an AI software engineer to support our strong DevSecOps culture\\\. Our skilled engineers have discipline and domain specific experience and training, best in industry software development practices and patterns, and cutting\\-edge tools for software design, development, configuration management, quality, security, and deployment\\\. The selected candidate will possess a balance of foundational software development skills and familiarity with emerging AI technologies\\\. This position is focused on developing and maintaining AI Utilities and Tools, that can be integrated into MS Office Applications that will eventually become available for teams and users for all LM employees\\\. This position will also be involved in developing, modifying, testing deploying and maintaining applications in support of the Lockheed Martin AI Factory\\\. The selected candidate will be a key technical resource on a team with other AI software engineers\\\. Responsibilities include, but are not limited to: Successful development, testing, deployment and maintenance of AI\\-enabled applications, incorporating agile and DevOps methodologies and concepts Developing user\\-facing applications that interact with the Microsoft 365 environment Ability to provide support to users experiencing abnormalities, as well as the ability to analyze user feedback and bug reports to implement fixes Periodic travel to Lockheed Martin sites may be required, as well as the ability to work in a virtual environment\\\. \\#LMLAIC \\\\Basic Qualifications:\\\\ Proficiency in Python, JavaScript/TypeScript, or Go Familiarity with APIs and web services Experience with CI/CD pipeline automation, for example Gitlab CI Full Stack Development experience preferably utilizing DevOps practices Ability to work collaboratively in a virtual team environment and willingness to operate in an interactive local and virtual team environment using pair programming and test\\-driven development processes \\\\Desired Skills:\\\\ Experience with AI client frameworks Familiarity with prompt engineering and LLM integration Familiarity with MCP \\(Model Context Protocol\\) Experience with prototype development or rapid iterations Understanding of AI governance and responsible AI practices Experience authoring documentation Familiarity with cloud platforms \\(AWS, Azure\\) and containerization Previous exposure to AI application development or chatbot/agent building Ability to thrive in ambiguity and adapt to the fast\\-evolving AI landscape Strong written and verbal communication skills \\\\Clearance Level:\\\\ None \\\\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:\\\\ 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 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 addition to our Paid Time off benefits\\\. \\\\Schedule for this Position:\\\\ 4x10 hour day, 3 days off per week \\\\Pay Rate:\\\\ The annual base salary range for this position in most major metropolitan areas in California, Massachusetts, and New York is $102,700 \\- $177,905\\\. For states not referenced above, the salary range for this position will reflect the candidates 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\\\. \\\\Pay Rate:\\\\ The annual base salary range for this position in California, Massachusetts, and New York \\(excluding most major metropolitan areas\\), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $89,300 \\- $157,435\\\. For states not referenced above, the salary range for this position will reflect the candidates 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\\\. \\\\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\\\.\\\\ 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, youre 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\\\. \\\\Experience Level:\\\\ Experienced Professional \\\\Business Unit:\\\\ ENTERPRISE BUSINESS SERVICES \\\\Relocation Available:\\\\ No \\\\Career Area:\\\\ Software Engineering \\\\Type:\\\\ Full\\-Time \\\\Shift:\\\\ First

The role requires proficiency in Python, JavaScript/TypeScript, or Go, along with familiarity with APIs and web services. Experience with CI/CD pipeline automation, such as Gitlab CI, and full-stack development, preferably utilizing DevOps practices, is necessary. The candidate must be able to work collaboratively in a virtual team environment and be willing to engage in pair programming and test-driven development processes. Familiarity with AI client frameworks, prompt engineering, and LLM integration is desired.