Artificial Intelligence/Machine Learning (AI/ML) Solution Architect/Engineer

Leidos is seeking a qualified candidate to join our National Security Sector - Engineering, Integration, and Operations Business Area, Office of Technology who will support ongoing and future initiatives and solutioning related to AI/ML technologies.

We offer competitive compensation, retirement and paid leave packages, health and wellness programs, career development trainings and certifications, income protection, employee stock purchase plans, and family benefits.

Take your career in the direction you want to go. Use your creativity and subject matter expertise to realize Digital Transformation across a variety of technology disciplines such as Cyber, Information Assurance, Machine Learning/Artificial Intelligence, Data Science, and more.

Primary Responsibilities:
•Provide AI/ML technical leadership and for delivering an innovative product, service or, at higher levels, a combination of products and services that address a customer's specific business problem. Duties may include developing innovative approaches and solutions, using non-quantitative tools and guidelines from experience.
•Research, develop, and implement complex AI/ML solutions for internal initiatives and customer programs.
•Lead the creation of AI architectures with varying frameworks and deployment models to devise and execute AI architecture strategies.
•Be the key liaison between data scientists, data engineers, developers, operations (DevOps, DataOps, and MLOPs) and business leaders to govern and scale AI initiatives.
•Lead key captures and their technical solutions (RFI & RFP responses) and program execution to ensure delivery of differentiated capabilities.
•Lead, participant in, and propose R&D and solution development efforts related to AI/ML solutions and associated technologies  for successful deployment
•Work with 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
•Follow, understand, and implement latest advancements in AI/ML and analytics.

Basic Qualifications:
•BS Degree in Computer Science, Data Science, Engineering, or related field and 12-15 years of prior relevant experience or Master’s degree with 10-13 years of prior relevant experience.  Additional years experience may be used in lieu of a degree.
•US Citizenship and an active SECRET security clearance with ability to attain a TOP SECRET/SCI security clearance.
•Demonstratable data science and advanced analytics experience including expert knowledge of advanced analytic tools such as SAS, R, and Python along with applied mathematics.
•Effective communicator, able to capture action items and status clearly and concisely.
•Multitask and manage competing priorities.
•Work independently, engaging SMEs when needed, to drive work to closure on-time.
•Experience with MS Excel, MS Word, MS SharePoint.
•Significant hands-on work in the area of AI/ML may be considered in lieu of degree.

Preferred Qualifications:
•Top Secret Clearance
•Certified Artificial Intelligence Consultant (CAIC ) certification or similar industry-recognized AI/ML certification
•Recognized expert technologist with 10+ years’ experience in AI/ML leading-edge technologies
•Defense Industry experience
 

Original Posting:November 12, 2024

For U.S. Positions: 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:Pay Range $126,100.00 - $227,950.00

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.