AI Applications Engineer Senior

Archrock•Houston, TX

About The Position

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.

Requirements

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 eco system.
Experience in managing databases and objects.
Experience Azure Data Lake Storage with Azure Synapse.
Knowledgeable in programming languages such as SQL, Python and Pyspark.
Experience with Azure Functions and API integration.
Ability to build and manage Data Pipelines.
Ability to build and manage data models.
Ability to build and manage AI Models.
Ability to manage and build reports in MS Fabric.
Ability to manage Azure Data Lake Storage.
Ability to use TSQL (Queries, Functions, Stored Procedures).
Ability to code using Python and Pyspark.
Knowledge of MS Fabric, Power BI.
Knowledge of Python, Pyspark and TSql.
Knowledge of Azure DevOps.
Knowledge of AI and Machine Learning.
Knowledge of building and managing Gen AI models using MS Foundry and similar platforms.
Knowledge of building and managing agents using MS Foundry or Copilot studio and custom development tool.
Knowledge of data engineering in Azure.
Customer-focused professional who is motivated to drive the creation of great data engineering platforms.
Contribute to the continued evolution of Corporate Analytics Platform.
Responsible for managing a growing cloud-based data ecosystem.
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.

Nice To Haves

Preferred master’s degree
Preferred 5+ years of AI/ML/Data science and Data Lake experience

Responsibilities

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.
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.
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 advance 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.