About The Position

Fastwater Staffing is seeking an AI Solutions Architect / AI Engineering Advisor to join their team. This role requires a strong background in cloud architecture, AI/ML, or software engineering, with a specific focus on Generative AI solutions on AWS. The ideal candidate will have experience with Amazon Bedrock, Foundation Models, RAG, Embeddings, Vector Databases, and AI strategy, governance, and best practices. Responsibilities include designing scalable AI application architectures, deploying AI solutions, and advising both business and technical stakeholders, including leadership teams. Strong communication and solution-design skills are essential.

Requirements

  • U.S. Citizen or Green Card (Permanent Resident) holder ONLY.
  • No visa holders or temporary-status individuals.
  • Willingness to undergo fingerprinting and a government background check (CJIS-type).
  • LinkedIn profile required; all resumes will be verified against LinkedIn.
  • 5+ years of Cloud Architecture, AI/ML, or Software Engineering experience.
  • Strong experience with Generative AI solutions on AWS.
  • Strong experience with Amazon Bedrock and Foundation Models.
  • Strong experience with RAG (Retrieval-Augmented Generation).
  • Strong experience with Embeddings and Vector Databases.
  • Strong experience with AI strategy, governance, and best practices.
  • Strong experience with scalable AI application architecture and deployment.
  • Experience advising business and technical stakeholders, including leadership teams.
  • Strong communication and solution-design skills.

Nice To Haves

  • AWS Solutions Architect Certification.
  • Experience leading enterprise AI initiatives.
  • Experience leading cloud transformation programs.

Responsibilities

  • Design and architect Generative AI solutions on AWS.
  • Implement and deploy AI solutions using Amazon Bedrock and Foundation Models.
  • Develop and integrate RAG (Retrieval-Augmented Generation) capabilities.
  • Utilize Embeddings and Vector Databases for AI applications.
  • Define and implement AI strategy, governance, and best practices.
  • Build scalable AI application architectures and deployment pipelines.
  • Advise business and technical stakeholders, including leadership teams, on AI strategies and solutions.
  • Communicate complex technical concepts effectively and design robust solutions.
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