Systems Engineer – AI Project Manager

Description:  This SE will:

·         Collaborate with the customer to understand their Al initiatives and provide support in aligning with their goals.

·         Stay up-to-date with the latest Al trends, technologies, and industry developments to provide informed guidance.

·         Translate complex Al concepts into plain language, making them accessible to non-technical stakeholders.

·         Develop and deliver presentations, whitepapers, and other content to effectively communicate Al ideas.

·         Work with customers to define requirements for Al solutions that can be provided to companies for development or testing.

·         Ensure requirements are clear, concise, and aligned with customer needs.

·         Stay current with the latest developments in Al hardware and software, including advancements in GPU architecture, TPUs, and other Al-specific technologies.

·         Engage with industry experts to share knowledge and insights on Al hardware/software, emerging technologies and capabilities.

·         Build relationships with key stakeholders, including researchers, developers, and industry leaders.

·         Serve as a liaison between customers and the broader Al community, ensuring alignment and effective collaboration.

·         Facilitate communication and coordination between customers, researchers, and developers to advance Al initiatives.

·         Travel to attend conferences, meetings, and other events worldwide to represent the customer and coordinate Al efforts across the community.

·         Demonstrate strong problem-solving skills to identify and tackle complex challenges in Al development.

·         Possess critical thinking skills to analyze data and make informed decisions about Al model design.

c.     QUALIFICATIONS

Minimum of three key Al qualifications required:  TS/SCI with Polygraph level required.

·         Minimum of 8 years with BS/BA; Minimum of 6 years with MS/MA; Minimum of 3 years with PhD; an additional four years of experience may be considered in lieu of degree.

·         3 years of experience as a systems engineer.

·         Strong technical understanding of Al concepts, including machine learning, deep learning, and computer vision.

·         Excellent communication and presentation skills, with the ability to distill complex ideas into plain language.

·         Experience working with customers, developers, and researchers to define and develop Al solutions.

·         Strong knowledge of current Al hardware and software developments, including industry trends and advancements.

·         Ability to travel (10% of the time} and represent the customer at events worldwide.

·         Strong relationship-building and coordination skills, with the ability to work effectively with diverse stakeholders.

Desired:

• Experience and/or technical knowledge & insights for at least four of the following disciplines:
  • Python and Object-Oriented Programming (OOP}
  • Data Structures
  • Big O notation and algorithmic efficiencies
  • Transformer architectures and LLMs
  • Natural Language Programing
  • RAG and model fine-tuning
  • Knowledge graphs and Neo4J
  • Embeddings and vector Databases
• Project Management/Systems Engineering Certifications.
• Al/ML Certifications and Experience.
• Bachelor's degree from an accredited University in Computer Science/Engineering, Engineering, or related technical field.
• Prior Experience with the sponsor, specifically OCONUS.
• Prior experience supporting Senior Level management.
• Prior experience working across organizational boundaries to achieve mission goals.