AI Applications Engineer Intermediate

Archrock•Houston, TX

11h

About The Position

The AI Applications Engineer is an individual contributor and team player who builds and manages scalable data and AI solutions using Microsoft platforms, including Azure Synapse, Microsoft Fabric, Foundry, Copilot Studio, and data lake storage. The role develops and manages machine learning and generative AI models and supports data science, analytics platforms, security, data governance, AI/ML operations, agents, and DevOps. The position manages data pipelines and cloud-based data environments, troubleshoots and resolves data and AI job issues, optimizes machine learning jobs, and develops processes and tools to monitor platform performance. It also supports data ingestion and data-model design for reports, works with databases and Azure Data Lake Storage, and integrates Azure Functions and APIs. The engineer collaborates with the advanced analytics team and contributes to the evolution of the Corporate Analytics Platform and the broader data strategy. The role includes delivering quality work within expected timeframes and budget, identifying improvements to teamwork and service quality, and complying with Archrock’s Health, Safety and Environmental Policy and applicable requirements. Other duties may be assigned.

Requirements

Bachelor’s degree; a master’s degree is preferred.
Preferred 2+ years of experience in AI/ML, data science, and data lake work.
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 building and managing generative AI models using Microsoft Foundry or similar platforms.
Knowledge of building and managing agents using Microsoft Foundry, Copilot Studio, or custom development tools.
Knowledge of Azure data engineering.
Customer-focused approach and motivation to build high-quality data engineering platforms.
Ability to define and create models ranging from complex to simple to derive insights, predictions, and innovations from data.

Nice To Haves

Master’s degree.
2+ years of AI/ML, data science, and data lake experience.

Responsibilities

Work as an Azure cloud data and solution engineer, contributing as an individual contributor and team player.
Analyze and design coding, programming, and integration activities to meet specific objectives.
Manage data pipeline job failures and support ingestion pipelines from a data engineering standpoint.
Optimize existing machine learning jobs for improved performance.
Develop processes, techniques, and tools to analyze and monitor platform performance.
Develop and manage AI/ML models, generative AI models, and AI agents.
Manage Azure data platforms, data lakes, databases, and database objects.
Identify, troubleshoot, and resolve issues related to data and AI jobs.
Participate in designing data models for reports and manage reports in Microsoft Fabric.
Use Azure Functions and API integrations as needed.
Negotiate and influence changes beyond the team to continually shape and improve the 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 propose ideas, methods, and innovations that improve teamwork, efficiency, and quality.
Comply with Archrock’s Health, Safety and Environmental Policy and applicable local, statutory, and regulatory requirements.
Perform other duties as assigned.