AI/ML Technical Sales Engineer at Leidos
Virginia, Virginia, USA -
Full Time


Start Date

Immediate

Expiry Date

06 Jul, 25

Salary

269075.0

Posted On

06 Apr, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Strategic Initiatives, Leadership Skills, Software Development, Collaboration, Programming Languages, Features, Competitive Landscape, Emerging Technologies

Industry

Information Technology/IT

Description

Description
Leidos is seeking a Technical Sales Engineer responsible for providing hands on technical expertise with repeatable offerings (RO’s) within the Information Advantage Technical Practice. Preferred work location is Leidos Headquarters, in Reston, VA; however, this position can support a hybrid work option for qualified candidates within a commutable distance from Reston.

POSITION SUMMARY:

As a Information Advantage Practice Sales Engineer, you’ll be a critical bridge between technical expertise and business development. Your role will focus on promoting Leidos solutions to federal clients, ensuring alignment with their needs and driving successful adoption of Leidos repeatable offerings. Duties may include developing innovative approaches and solutions, using non-quantitative tools and guidelines from experience.

BASIC QUALIFICATIONS:

  • Masters (preferred) and 15+ experience in software development or software engineering roles, with a robust background in designing, implementing, and optimizing solutions in cloud and data center environments; additional years of experience may be substituted in lieu of a degree.
  • Extensive experience in AI/ML and automation concepts.
  • Demonstrated expertise in designing and deploying scalable applications using both established and cutting-edge programming languages. Familiarity with legacy programming languages is advantageous.
  • Extensive understanding of classical ML techniques as well as Generative AI including Agentic patterns.
  • Strong leadership skills with a successful track record of leading teams in the implementation of AI/ML and automation solutions, fostering collaboration and innovation.
  • Ability to effectively manage projects, prioritize tasks, and meet deadlines in dynamic, large-scale environments.

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Responsibilities

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