Azure Cloud Architect AI & Automation Platform

Overview

Remote
$DOE
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 6 Month(s)

Skills

Troubleshoot and resolve technical issues across the stack
from data ingestion to front-end delivery. Continuously evaluate emerging Azure services and technologies to enhance platform capabilities.

Job Details

Position Overview

We are seeking a dynamic and experienced Azure AI Cloud Architect. As a key member of our foundational platform initiative for AI and Automation impacting and transforming the business workflows transforming critical businesses and operations across capital markets, you will play a pivotal role in architecting, implementing, and delivering critical technology components on Microsoft Azure. We are looking for a self-starter who thrives in a fast-paced environment and possesses a strong track record of building scalable cloud solutions.

Key Responsibilities

  • Architect and implement robust, scalable, and secure enterprise AI solutions on Microsoft Azure leveraging Agentic AI and Automation frameworks.
  • Lead the design and integration of data pipelines for ingestion, mapping, and extraction from structured, semi-structured, and unstructured data sources.
  • Collaborate closely with product managers, data engineers, and UI/UX teams to deliver a high-performing React-based user interface.
  • Ensure end-to-end data flow and integrity across the platform, including storage, processing, and access layers.
  • Establish best practices for cloud infrastructure, DevOps, ML Ops, and LLM Ops in Azure.
  • Champion security, compliance, and governance standards throughout the solution lifecycle.
  • Troubleshoot and resolve technical issues across the stack, from data ingestion to front-end delivery.
  • Continuously evaluate emerging Azure services and technologies to enhance platform capabilities.

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.
  • Proven experience (5+ years) designing and deploying solutions on Microsoft Azure.
  • Hand on experience building Gen AI and Agentic AI applications leveraging Gen AI frameworks.
  • Strong expertise in architecting data ingestion, mapping, and extraction pipelines for diverse data types (structured, unstructured, semi-structured).
  • Hands-on experience with Azure services such as Data Factory, Synapse Analytics, Logic Apps, Functions, Blob Storage, Azure Data Lake, Cosmos DB, PostgreSQL and related components.
  • Solid understanding and practical experience with front-end technologies, especially React.js, and integrating with cloud-based backends.
  • Proficiency in scripting and automation with specific focus on Infrastructure as Code (IAC) via Terraform. Proficiency in other scripting areas (e.g., PowerShell, Python, ARM templates, Bicep) will be a plus.
  • Experience in implementing security, compliance, and governance in AI and cloud environments.
  • Demonstrated ability to work independently, drive projects, and deliver high-quality results on schedule.
  • Excellent communication, collaboration, and problem-solving skills.

Preferred Qualifications

  • Azure Solutions Architect Expert certification or equivalent.
  • Experience with AI/ML workloads and automation frameworks on Azure.
  • Background in business processing services or enterprise-scale transformation projects.
  • Familiarity with containerization (Docker, Kubernetes) and microservices architecture.
  • Knowledge of data privacy and regulatory requirements relevant to business processing services.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.