AI Solutions Architect designing and implementing AI solution architecture for client business needs while complying with organizational strategies and ethical considerations.
Responsibilities
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.
Requirements
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
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