​​Senior AI/ML Software Engineer​

​Leidos National Security Sector combines technology-enabled services and mission software capabilities in the areas of cyber, logistics, security operations, and decision analytics to support our defense and intel customers’ mission to defend against evolving threats around the world. Our team’s focus is to ensure our customers have the right tools, technologies, and tactics to keep pace with an ever-evolving security landscape and succeed in their pursuit to protect people and critical assets. 

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​The Decision Advantage Solutions Business Area, Office of Technology, is seeking an experienced Principal AI/ML Software Engineer. As a Principal AI/ML Software Engineer you will be required to develop solutions that are highly innovative and achieved through research and integration of industry best practices. The ideal candidate will have experience working with diverse data sets (ex. geospatial, radio frequency) in an agile DevSecOps environment. You will lead the development of solutions that impact strategic campaigns, programs, and internal development goals and business results. You work alongside other technical leaders to develop AI/ML solutions that operate on cloud and high-performance computing platforms, as well as the tactical edge. You will resolve highly complex problems using significant application of technical knowledge, conceptualizing, reasoning and interpretation. You will interact daily with various technical resources across different vendors which are fulfilling technical requirements for the customer. This role offers the opportunity to make significant contributions to our projects and gain hands-on experience in a cutting-edge technology environment. 

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​Clearance Level Required: 

​Top Secret, SCI eligible  

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​Primary Responsibilities: 

• ​Lead key captures and their technical solutions (RFI & RFP responses) and program execution to ensure delivery of differentiated capabilities. 

• ​Lead, participate in, and propose R&D and solution development efforts related for AI/ML solutions and associated technologies for successful deployment. 

• ​Work with the program teams, Division leadership, and CTO organization to identify technology and solution roadmaps to improve mission enterprise capabilities and broad Leidos contribution in mission attainment resulting in increased contract growth and improved customer satisfaction.  

• ​Partner with the Business Development team in supporting the shaping and development of technical solutions and industry relationships via new business reviews, white papers, customer shaping calls, and the Win Plan process for larger franchise opportunities. 

• ​Mentor and grow the technical talent and junior solution architects in the organization to meet the current and future (new market) business challenges.  

• ​Follow, understand, and implement latest advancements in AI/ML and analytics. 

• ​Implement MLOps practices to streamline the machine learning lifecycle, including version control, automated testing, continuous integration, and deployment of models.  

• ​Document MLOps development processes, results, and best practices for knowledge sharing and reproducibility. 

• ​Assists in creating technical documentation and presentations to communicate findings and progress to stakeholders. 

• ​Ensure security best practices are integrated into the development lifecycle, including compliance with data protection regulations. 

• ​The successful candidate will be a Technology Innovator and the forward-looking person who leads the division in staying competitive by leveraging technology.  

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​Basic Qualifications: 

• ​US citizenship and an active Top Secret security clearance with SCI eligibility

• ​MS degree in Computer Science, Data Science, Engineering or related field and 10+ years of prior relevant experience. 

• ​7+ years of experience in AI/ML engineering with a focus on model design, development, and deployment. 

• ​Ability to develop, manage, and implement a technology roadmap and portfolio. 

• ​Possess strong analytical and problem-solving abilities to troubleshoot complex technical issues and design effective solutions. 

• ​Possess effective communication and be able to collaborate with Customers, and cross-functional teams, document technical processes, and present solutions to stakeholders. 

• ​Experience as a technical lead and writer on proposals for the US government. 

• ​Must be able to prioritize tasks effectively, manage deadlines, and handle multiple projects simultaneously. 

• ​Familiarity with Agile MLOps and DevSecOps practices and tools likes Jenkins, Docker, and Kubernetes. 

• ​Experience with cloud platforms such as AWS, Azure, or Google Cloud. 

• ​Excellent organizational skills and keen attention to detail, with the ability to multitask and prioritize effectively in a fast-paced, dynamic work environment. 

• ​Enthusiasm for learning and adapting to new technologies and methodologies. 

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​Preferred Qualifications: 

• ​PhD in a relevant field 

• ​Recognized expert technologist with 20+ years experience in mission software solutions related to data science, machine learning, or other similar technology. 

• ​Experience with geospatial datasets and sensing phenomenologies (EO, IR, SAR). 

• ​Knowledge of machine learning frameworks and libraries (TensorFlow, PyTorch, Scikit-Learn). 

• ​Agile-based knowledge and skill, including experience with Scrum Ceremonies and work management tools (e.g., (JIRA, Confluence). 

Original Posting Date:

While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.