AI Software Engineer SME (TS/SCI with Poly Required)

GCI Careers•Chantilly, VA

About The Position

GCI is seeking an AI Software Engineer SME to develop and support AI-based systems for customer mission requirements. The role includes training models using data from other components; creating AI systems, models, human-review processes, outputs, ETL processes, and databases; and productionizing AI systems as part of collection mechanisms. The engineer supports operational users with break-fix work and software updates, researches open-source AI/ML developments, and collaborates with customer and community stakeholders on AI efforts. The position involves framing and scaling data problems, developing scalable and secure application functionality, integrating AI algorithms into IT project deliverables, and creating models and metrics aligned with business objectives. The engineer derives insights and analytic narratives from data and visualizations, analyzes AI/ML technology trends, conducts independent technical research in areas such as robotics, autonomy, software, engineering, and data analysis, and works with stakeholders to define AI solutions that fit architectural frameworks and business needs. The role also involves applying disciplines including natural language processing, machine learning, predictive modeling, statistical analysis, and hypothesis testing, and programming systems to identify specified conditions and respond accordingly. Candidates must be U.S. citizens and hold an active/current TS/SCI clearance with polygraph. GCI is an equal opportunity employer and welcomes individuals with disabilities and protected veterans.

Requirements

Demonstrated ability to understand and automate customer workflows and business processes with AI solutions.
Demonstrated experience with data structures, data modeling, and software architecture.
In-depth experience and knowledge of machine-learning tools and frameworks such as PyTorch and TensorFlow.
Extensive mathematics and computer science skills, including a deep understanding of probability, statistics, and algorithms.
Experience with AI/ML programming languages and tools such as Python, Java, C++, and Conda.
Experience training AI models and integrating pre-trained models into dataflows and software architectures.
U.S. citizenship.
Active/current TS/SCI clearance with polygraph.

Nice To Haves

Experience implementing secure AI solutions in the Intelligence Community.
Experience working with highly sensitive datasets.
Experience leading AI/ML initiatives.
In-depth knowledge and experience implementing ETL pipelines.
In-depth knowledge and experience implementing solutions in Amazon Web Services.
Strong problem-solving and critical-thinking skills.
Experience serving in a collaborative team environment.

Responsibilities

Train models based on data acquired from other components.
Create AI-based systems, models, human-review processes, outputs, ETL processes, and databases.
Productionize and develop AI-based systems as part of collection mechanisms.
Support operational users of the systems, including break-fix work and software updates.
Research open-source AI/ML modeling and technologies for relevant capabilities to support customer efforts.
Collaborate with customer and community elements engaged in AI efforts.
Frame and scale data problems to analyze, visualize, and identify data solutions.
Develop and support scalable, secure application functionality, integrating and implementing AI algorithms and logic into IT project deliverables.
Understand business objectives and develop models and metrics to help achieve and track them.
Derive insights and analytic narratives from data and visualizations to communicate findings in response to research questions.
Analyze AI and ML technology trends and their strategic implications.
Conduct independent technical research in areas including robotics, autonomy, software, engineering, and data analysis.
Collaborate with customers and stakeholders to assess business requirements and define AI solutions aligned with architectural frameworks and business needs.
Program systems to identify specified conditions and respond based on those factors.