Help AI product managers and business stakeholders understand the potential and limitations of AI when planning new products
Help select and deploy AI models into production; implement and deploy secure AI pipelines
Create/manage APIs and help business customers put results of AI models into operations
Develop and/or incorporate AI training content for a variety of stakeholders
Evaluate business use cases and help determine best path forward with regard to application of AI
Provide guidance and support for implementing security and access controls to ensure proper protection of data
Work within established compliance and infrastructure constraints
Collaborate with IT systems, cybersecurity, and enterprise business teams
Provide system administrative support over AI solutions used in the business
Understanding and experience with applying AI related NIST standards and best practices
Keep current of latest AI research relevant to the business domain
Research improvements to machine-learning algorithms

Bachelor’s degree in computer science, engineering, or a related technical field
2-4 years of experience in software engineering, machine learning engineering, or AI infrastructure roles (equivalent years of experience in lieu of degree possible)
US Citizenship with the ability to obtain and maintain a US security clearance
Experience deploying services using containerized or virtualized environments
Experience with cloud-native AI services (e.g., managed training or inference services)
Knowledge of AI / ML development (natural language processing / NLP, deep learning, computer vision, etc.)
Python
Knowledge of C++, Java, Go / Golang, Scala, or other similar programming language
Familiarity with applying NIST AI Risk Management Frameworks and in the security governance of Generative AI
Understanding of federal data protection standards and regulatory frameworks

Artificial Intelligence – Systems Engineer

Key skills