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 specific functional knowledge, working or general industry knowledge. Develops or contributes to solutions to a variety of problems of moderate scope and complexity. Works independently with some guidance, may review or guide activities of more junior employees.
Responsibilities
No responsibilities listed.
Qualifications
Minimum
3+ years of experience implementing IT systems, applications, and infrastructure
3+ years of experience designing and implementing a highly available, scalable, and resilient enterprise cloud environment
2+ years of experience in AI and Data Science using Python programming and big data technologies, including Hive, Q, Bedrock, PySpark, Synapse, or Databricks
2+ years of experience using the Amazon AI product tool suite, Sage Maker studio, and Bedrock
2+ years of experience using LLMs, GenAI applications, and agentic AI orchestration frameworks
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
Master's degree in technology field such as Computer Science or Statistics preferred
Security, Cloud, or Software Development Certification