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 advanced consulting, extensive technical expertise, and full industry knowledge. Develops innovative solutions to complex problems. Works without considerable direction. Mentors and may supervise team members.
Responsibilities
No responsibilities listed.
Qualifications
Minimum
6+ years of experience implementing enterprise IT systems, applications, and infrastructure
4+ years of experience in AI and Data Science using Python programming and big data technologies, including Hive, Q, Bedrock, PySpark, Synapse, or Databricks
Experience with the Amazon AI product tool suite - Sage Maker studio, as well as Bedrock
Experience in architecting and implementing a highly available, scalable, and resilient enterprise cloud environment
Experience leading architecture, platform engineering, and development teams on enterprise cloud engagements
Experience in training LLMs
Knowledge of Big Data solutions and data migration technologies, and processes
Ability to deploy a production application to an AWS cloud environment
TS/SCI clearance with a polygraph
Bachelor's degree
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