AI Applications Engineer Intermediate

Archrock • Houston, TX

1d

About The Position

The AI Applications Engineer works as an Azure cloud data and solutions engineer, contributing as an individual contributor and team member. The role builds and manages scalable data and AI solutions across Microsoft platforms, including Azure Synapse, Microsoft Fabric, Microsoft Foundry, Copilot Studio, and data lake storage. It involves developing and managing machine-learning and generative AI models, AI agents, data pipelines, and data models, while supporting data science and analytics work.

The engineer analyzes, designs, and determines the coding, programming, and integration needed to meet objectives. The role also addresses pipeline and AI job failures, optimizes machine-learning jobs, monitors platform performance, supports ingestion pipelines, participates in report data-model design, and integrates Azure Functions and APIs. The position contributes to the evolution and management of the corporate cloud-based analytics platform, collaborates with the advanced analytics team, and may lead critical engagements while delivering quality work within expected timeframes and budgets. Other duties may be assigned. Employees must comply with Archrock’s Health, Safety, and Environmental Policy and applicable local, statutory, and regulatory requirements.

Requirements

• Bachelor’s degree.
• Ability to build and manage data pipelines, data models, and AI models.
• Ability to manage and build reports in Microsoft Fabric.
• Ability to manage Azure Data Lake Storage.
• Ability to use T-SQL, including queries, functions, and stored procedures.
• Ability to code using Python and PySpark.
• Knowledge of Microsoft Fabric and Power BI.
• Knowledge of Python, PySpark, and T-SQL.
• Knowledge of Azure DevOps.
• Knowledge of AI and machine learning.
• Knowledge of data engineering in Azure.
• Ability to define and create models, from complex to simple, to produce insights, predictions, and innovations from data.
• Customer-focused and motivated to help create data-engineering platforms.

Nice To Haves

• Master’s degree preferred.
• 2+ years of AI/ML, data science, and data lake experience preferred.
• Experience building and managing generative AI models using Microsoft Foundry or similar platforms.
• Experience building and managing agents using Microsoft Foundry, Copilot Studio, or custom development tools.
• Experience with Microsoft analytical platforms such as Fabric, Synapse, and data lakes.
• Experience with Azure cloud, Azure Data Lake Storage, and Synapse.
• Experience with AI/ML models, generative AI models, and AI agents.
• Experience with Azure Functions and API integration.

Responsibilities

• Work as an Azure cloud data and solutions engineer, both as an individual contributor and as a team player.
• Analyze, design, and determine the coding, programming, and integration activities required to meet specific objectives.
• Manage data-pipeline job failures and troubleshoot and resolve issues related to data and AI jobs.
• Optimize existing machine-learning jobs for improved performance.
• Develop processes, techniques, and tools to analyze and monitor platform performance.
• Build and manage data pipelines, data models, AI models, and reports in Microsoft Fabric.
• Support ingestion pipelines from a data-engineering standpoint.
• Participate in designing data models for reports.
• Develop and manage generative AI models and AI agents.
• Apply AI and machine-learning operations practices.
• Manage databases and database objects, including Azure Data Lake Storage with Azure Synapse.
• Use Azure Functions and integrate APIs.
• Negotiate and influence changes beyond the team to shape and improve data strategy.
• Participate in or lead critical engagements, delivering quality services and work products within expected timeframes and budget.
• Collaborate with the advanced analytics team.
• Contribute to the continued evolution of the Corporate Analytics Platform and manage a growing cloud-based data ecosystem.
• Identify opportunities and provide ideas, methods, and innovations to improve teamwork, efficiency, and quality.
• Perform other duties as assigned and comply with applicable health, safety, environmental, statutory, and regulatory requirements.

Benefits

• Compensation and benefits are offered, but specific benefits are not listed.
• Career paths and opportunities for growth.
• Flexibility and support to pursue different roles within the company.
• Ability to relocate among company locations across the United States.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level