Senior Azure AI Platform Engineer

Schiller Park, IL - USA

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

Position Overview

The Senior Azure AI Platform Engineer is aligned with Encores Application Development Team to design build and operate scalable AI enabled platform capabilities on Microsoft Azure. This role focuses on creating the foundational services patterns and infrastructure that enable machine learning and generative AI features to be safely and effectively embedded across Encores applications.

This position supports all phases of the product and platform lifecycle from defining the right technical approach and standards to delivering operating and continuously improving production grade AI systems. Collaborating closely with software engineers data partners and product stakeholders this role aims to translate business challenges into reliable secure and scalable AI powered solutions. The Senior Azure AI Platform Engineer reports to the Senior Manager of Applications Development.

Key Job Responsibilities

AI First Application Engineering

Lead the design and implementation of AI driven capabilities across Encores applications embedding intelligence directly into workflows user experiences and backend services.

Partner with product managers and business stakeholders to identify where AI and machine learning can meaningfully improve decision making automation personalization and operational efficiency.

Design and build reusable AI platform components services and patterns that application teams can safely and consistently adopt.

Apply generative AI machine learning and Azure AI services to real world business problems with a focus on reliability security and scalability.

Balance experimentation with production readiness ensuring AI features are observable testable and maintainable.

Platform Enablement & Architecture

Establish standards guardrails and best practices for AI usage across the application development organization.

Evaluate new Azure AI services and tooling recommending adoption when clear business value exists.

Promote responsible AI practices including security privacy compliance and cost awareness.

Production Support & Continuous Improvement

Support and improve production applications and AI-powered services.

Troubleshoot complex issues related to performance reliability and data quality.

Improve observability monitoring and operational maturity of AI and application services.

Identify opportunities to improve development workflows automation and deployment practices.

Documentation Mentorship & Knowledge Sharing

Create and maintain clear technical documentation covering architecture AI patterns and platform standards.

Enable application teams through documentation shared services and hands-on mentorship.

Contribute to a strong engineering culture focused on quality ownership and continuous improvement.

Job Qualifications

Bachelors degree in computer science Engineering or a related technical field or equivalent practical experience

6 years of professional software engineering experience in enterprise SaaS or consulting environments

Proven experience designing building and supporting production-grade applications

Strong experience with C# .NET Web APIs and modern backend development practices

Experience with Azure cloud services and cloud-native or serverless architectures

Familiarity with modern JavaScript frameworks; React or experience preferred

Experience working with relational and NoSQL databases such as SQL Server and Cosmos DB

Understanding of CI/CD pipelines automated testing and modern Git workflows

Strong communication skills with the ability to explain complex technical concepts clearly

Competency Group

Deliver World Class Service

Hospitality

Ownership

Do The Right Thing

Demonstrates Self-Awareness

Drive Results

Ensures Accountability

See The Big Picture

Decision Quality

Manages Complexity

Value People

Collaborates

Work Environment

Office

Work is performed primarily in an office environment and up to 20% of the time will be required for travel and normal business operations in corporate offices. Working times may include irregular hours and on-call status including days evenings weekends and holidays. Team members must adhere to appearance guidelines as defined by Encore based in an office environment and when traveling on an individual venue or a representation of venues in that city or area.

The above information on this description is not necessarily an exhaustive list of all responsibilities duties skills efforts requirements or working conditions associated with the job. While this is intended to be an accurate reflection of the current job management reserves the right to revise the job or to require that other or different tasks be performed as assigned.

#INDCORP

#LI-EL

Required Experience:

Senior IC

Position OverviewThe Senior Azure AI Platform Engineer is aligned with Encores Application Development Team to design build and operate scalable AI enabled platform capabilities on Microsoft Azure. This role focuses on creating the foundational services patterns and infrastructure that enable machin...