AI Applications Engineer Intermediate

About the role

Experience in building and managing scalable data and AI solutions with Microsoft Platform such as Azure Synapse, MS Fabric, Foundry, Copilot studio and Lake type storage. Skilled in developing and managing machine learning models and handling various data science tasks. Knowledgeable about analytical platform, security, data governance, AI/ML operations, Gen AI, Agents and DevOps.

Responsibilities

Essential Duties

• Work as an Azure cloud data and solution engineer, an individual contributor, and a team player
• Analyze, design, and determine coding, programming, and integration activities required based on specific objectives
• Manage data pipeline jobs failure issues
• Optimization of existing ML jobs for better performance
• Develop processes, techniques, and tools to analyze and monitor platform performance
• Strong working knowledge in MS Analytic Platforms such as MS Fabric, Synapse and Data lakes
• Experience in developing and managing AI/ML Models
• Experience with Gen AI Models
• Experience with AI agents development and manage them
• Experience in AI and ML Ops
• Experience in Azure cloud ecosystem
• Experience in managing databases and objects
• Experience Azure Data Lake Storage with Azure Synapse
• Knowledgeable in programming languages such as SQL, Python and Pyspark
• Identify, troubleshoot and resolve issues related to data and AI jobs
• Support ingestion pipelines from a data engineering standpoint
• Participation in the design of data models for reports
• Experience with Azure Functions and API integration

Non-Essential Duties

• Performs other duties as assigned
• Negotiate and influence changes outside of the team that continuously shape and improve the Data strategy
• Participate or run critical engagements, consistently delivering quality services
• Drive high-quality work products within expected timeframes and on budget
• Collaborate with advanced analytics team
• All employees shall be in compliance with the Archrock Health Safety and Environmental Policy and local, statutory and/or regulatory requirements at all times

Qualifications

Skills and Abilities

• Ability to build and manage Data Pipelines
• Build and manage data models
• Build and manage AI Models
• Manage and build reports in MS Fabric
• Manage Azure Data Lake Storage
• Use TSQL (Queries, Functions, Stored Procedures)
• Code using Python and Pyspark
• Knowledge of MS Fabric, Power BI
• Python, Pyspark and TSql
• Azure DevOps
• AI and Machine Learning
• Build and manage Gen AI models using MS Foundry and similar platforms
• Build and manage agents using MS Foundry or Copilot studio and custom development tools
• Data engineering in Azure

Education and Certification

• Bachelor's degree required; master's degree preferred

Experience

• Preferred 2+ years of AI/ML/Data science and Data Lake experience

Leadership

• Customer-focused professional motivated to drive the creation of great data engineering platforms
• Contribute to the continued evolution of the Corporate Analytics Platform
• Responsible for managing a growing cloud-based data ecosystem

Problem Solving and Innovation

• Ability to define and create complex to simple models to build insights, predictions, and innovations from data
• Expected to identify opportunities and to provide ideas, methods, and innovations to enhance teamwork, efficiency, and quality

About the company

Archrock is a premier provider of natural gas compression services to customers in the energy industry throughout the U.S. and a leading supplier of aftermarket services to customers who own compression equipment. With approximately 1,000 employees, our unmatched expertise and team of highly qualified, certified technicians are backed by more than 70 years of industry experience.

At Archrock, we value our people, over and above the generous compensation and benefits we offer. We strive to be good stewards of their careers. Career paths are well defined and room for growth is available to everyone. Employees have the flexibility and support to pursue different roles within the company. And in an operation that has locations across the United States they have the freedom to relocate if they desire.