Chief Data and AI Engineer

Job Description

Description

A trusted leader in cloud, digital engineering, data, and Artificial Intelligence, the nation looks to SAIC to integrate emerging technology to modernize critical missions and enable its national imperatives. To address the growing demands within the Department of Defense, SAIC is seeking a SAIC is looking for a highly skilled and dynamic Chief Data/AI Engineer to join our Digital and AI Team as we embark on a large initiative to lead the design and operate integrated Enterprise IT solutions that deliver AI-enabled capabilities and enable data-driven decision making to missions across the Department, Services, and Combatant Commands.

Role Summary: The Chief Applied AI Scientist will lead development, continuous monitoring, continual improvement, and operations of cutting-edge analytic, AI/ML, RPA, and decision support solutions for SAIC’s CJADC2 and Enterprise AI portfolios, fostering improved decision-making and operational efficiency for the Department, Services, and Combatant Commands.

Core 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.

Qualifications

Essential Qualifications:

• 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).

Preferred Qualifications:

• Master’s or doctoral degree in a related technical discipline.
• Possess experience with data visualization packages in Python or similar programming languages.
• Possess 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.
• Possess experience with one of the large cloud-computing infrastructure solutions similar to AWS, MS Azure, or Google Cloud Platform (GCP) environment.
• Possess experience utilizing Agile development methodologies and Application Lifecycle Management.
• Possess experience working with programming languages such as Java, C++, JSON, PHP, Perl, Python, Ruby, Pig/Hive, and/or Elixir.
• Strong publication record.

Overview

SAIC® is a premier Fortune 500® technology integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, civilian and intelligence markets includes secure high-end solutions in mission IT, enterprise IT, engineering services and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.

We are approximately 24,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer, fostering a culture of diversity, equity and inclusion, which is core to our values and important to attract and retain exceptional talent. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.4 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.