CHIEF DATA AND AI ENGINEER

$160,001 - $160,001/Yr

SAIC - Washington, DC

posted about 2 months ago

Full-time - Senior
Washington, DC
10,001+ employees
Professional, Scientific, and Technical Services

About the position

The Chief Data and AI Engineer at SAIC will lead the design and operation of integrated Enterprise IT solutions that deliver AI-enabled capabilities and support data-driven decision-making across the Department of Defense. This role involves overseeing the development of cutting-edge analytic, AI/ML, and decision support solutions, ensuring ethical and compliant AI practices while fostering relationships with stakeholders to address their challenges.

Responsibilities

  • Innovate and enhance CJADC2 systems, including operational analysis and design proposal.
  • Oversee the development of emerging technology pipelines aligned with strategic growth.
  • Lead proposal efforts, creating AI/ML solutions within the CDAO's fast-paced environment.
  • Cultivate relationships with stakeholders, addressing their specific challenges and barriers.
  • Guarantee ethical, transparent, and compliant AI solutions in accordance with legal standards.
  • Remain abreast of AI/ML technological trends and competitive insights.

Requirements

  • Possess a minimum of an active TS security clearance with SCI eligibility.
  • Possess a minimum of five years of experience with full lifecycle and secure and automated development of at least one of the following: data management, data analytics or Artificial Intelligence (AI), Machine Learning (ML).

Nice-to-haves

  • Master's or doctoral degree in a related technical discipline.
  • Experience with data visualization packages in Python or similar programming languages.
  • Experience with supervised and unsupervised deep learning algorithms like Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Gated Recurrent Unit (GRU) and advanced deep learning packages such as TensorFlow, Keras, Pytorch, Caffe, and Theano.
  • Experience with one of the large cloud-computing infrastructure solutions similar to AWS, MS Azure, or Google Cloud Platform (GCP) environment.
  • Experience utilizing Agile development methodologies and Application Lifecycle Management.
  • Experience working with programming languages such as Java, C++, JSON, PHP, Perl, Python, Ruby, Pig/Hive, and/or Elixir.
  • Strong publication record.
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