AI Architect - Remote / Telecommute

  • Jersey City, NJ
  • Posted 2 hours ago | Updated 2 hours ago

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - 1 Month(s)

Skills

API Management
Advanced Analytics
Architectural Design
Artificial Intelligence
Auditing

Job Details

We are looking for AI Architect - Remote / Telecommute for our client in Jersey City, NJ
Job Title: AI Architect - Remote / Telecommute
Job Location: Jersey City, NJ
Job Type: Contract
Job Description:
Pay Range: $45hr - $50hr
Responsibilities:
  • Lead the architectural design and implementation of scalable, generative AI-powered solutions for business automation, leveraging both Azure and Google Cloud platforms.
  • Architect end-to-end AI model workflows, utilizing Azure AI, and Google AI tools. Focus will be on applications involving complex document intelligence, multi-modal data analysis, and advanced image processing tasks.
  • Design and oversee the development of optimized RAG (Retrieval Augmented Generation) pipelines that incorporate varied data sources and formats to improve prompt execution.
  • Establish best practices for prompt engineering and iterative refinement to maximize the accuracy and relevance of outputs across diverse data types.
  • Collaborate with cross-functional teams (engineering, data science, business) to translate complex business requirements into robust, scalable AI component designs.
  • Champion the integration of the client's proprietary generative AI tools into the architecture and development lifecycles.
  • Direct the implementation of robust API management strategies using Apigee for secure and efficient access to AI models and related services.
  • Ensure all solution designs adhere to stringent data governance policies and use cloud-native security mechanisms and compliance tools.
  • Provide architectural guidance and design patterns for leveraging generative AI within critical business processes like License Audit and Product Approval, emphasizing scalable and verifiable outcomes.
  • Establish and automate DevOps pipelines for model deployment, testing and iterative enhancements.
Skills:
  • Deep expertise with Azure AI services (including Cognitive Services) and Google Cloud AIML platform.
  • Extensive knowledge and practical experience with document processing using Azure Document Intelligence and alternative OCR technologies.
  • Mastery of Snowflake for data modeling, warehousing, and integrating with advanced analytics workflows.
  • Proficiency with cloud orchestration tools, like GKE Scheduler, and asynchronous communication services (e.g., Google PubSub).
  • Advanced expertise in API management using Apigee and related security best practices.
  • Proven ability to design and implement Kubernetes-based AI model deployments, including model optimization techniques.
  • Strong command of Python for development and automation tasks.
  • Demonstrated experience converting business needs into scalable and maintainable technical designs.
  • Experience working with and extending custom Generative AI tooling.
  • Deep understanding of Retrieval Augmented Generation (RAG) concepts and its applications
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