Azure AI Platform Engineer

Akaasa Technologies
Dallas, TX, United States
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$104,000.0
Working hours
Regular working hours
Job source

Tech stack

.NET Framework Artificial Intelligence Microsoft Azure Microsoft Online Services C Sharp (Programming Language) Cloud Engineering Decision Support Systems Octopus Deploy Recommender Systems Azure Machine Learning Software Deployment TypeScript
+6 more
Enterprise Software Applications Build Management Containerization AI Platforms Data Analytics Docker

Job description

  • Someone who can bridge business problems and AI solutions, within the Microsoft ecosystem (GenAI, Azure AI Services, Copilot)
  • Build real applications on Azure with a strong understanding of Azure AI services
  • And help the company figure out where AI creates value - not just implement tech for the sake of it., * Partner with business stakeholders to identify and prioritize high-value AI use cases across areas like sales, operations, and reporting
  • Design and build AI-driven solutions that analyze large enterprise datasets (e.g., sales and commission data)
  • Develop and deploy production-grade AI applications and services on Azure
  • Translate ambiguous business problems into practical, scalable AI solutions
  • Work hands-on with Azure AI services to implement real-world use cases (not just prototypes)
  • Integrate AI capabilities into existing applications and workflows
  • Ensure solutions meet enterprise standards for security, auditability, and compliance (SOX)
  • Collaborate with engineering teams to align with CI/CD pipelines and deployment practices (Octopus, Docker)
  • Review and work within existing .NET-based systems and services, Role Overview: As a Senior Full-Stack Engineer specializing in TypeScript, you will play a pivotal role in designing and developing robust, scalable web applications. This positio…
  • 3 days ago
  • Apply easily

Requirements

  • Proven experience delivering real-world AI use cases in a business environment (must be clearly demonstrated on resume)
  • Strong hands-on experience building AI/ML or GenAI-powered solutions using Microsoft Azure
  • Experience working with large business datasets to drive insights and decision-making
  • Ability to bridge business needs with technical AI solutions
  • Experience building and deploying applications in Azure (cloud-native or containerized environments)
  • Familiarity with Docker and CI/CD pipelines (Octopus or similar tools)
  • Ability to read and work within .NET/C# applications
  • Experience working in SOX-compliant or highly regulated environments (focus on auditability and governance)

Preferred

  • Experience implementing AI use cases such as:

  • Sales analytics or forecasting
  • Recommendation engines
  • Process automation
  • Data-driven decision support tools
  • Experience integrating AI into enterprise applications or internal tools

Benefits & conditions

SaidGig

  • Dallas, TX
  • $50.00 per hour This role focuses on providing essential support for production infrastructure systems, ensuring the seamless operation of next-generation AI systems. By leveraging your expertise,…

  • 3 days ago, + $150.00 per hour Join a dynamic network of DevOps and Platform Engineering experts, connecting with top AI labs and companies that seek your specialized skills. This opportunity allows you to engag…

  • 3 days ago

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