About the job
Designs and implements effective AI solution architecture or strategy utilizing approaches of various AI technologies and methods to address clients' business problems and needs, while complying with the organization’s strategies and business goals, and key ethical considerations. Applies basic principles, theories, and concepts, limited industry knowledge. Solves routine problems of limited scope and complexity, refers more complex issues to higher levels. Works under direct supervision.
Responsibilities
No responsibilities listed.
Qualifications
Minimum
Experience implementing or maintaining IT systems, applications, and infrastructure
Experience in AI and Data Science using Python programming and big data technologies, including Hive, Q, Bedrock, PySpark, Synapse, or Databricks
Experience using LLMs, GenAI applications, or agentic AI orchestration frameworks
Knowledge of the Amazon AI product tool suite, Sage Maker studio, and Bedrock
Knowledge of how to implement a highly available, scalable, and resilient enterprise cloud environment
Knowledge of Big Data solutions, data migration technologies, and processes
TS/SCI clearance with a polygraph
Bachelor's degree in a Technology field, such as Computer Science or Statistics
Preferred
Experience providing technical guidance to architects and engineers
Experience working in GCP or Microsoft Azure
Knowledge of security and compliance requirements for cloud-based solutions, network architecture, and security principles
Security, Cloud, or Software Development Certification