Software Development Advisor

NTT DATA, Inc.; Mexico; On-site; PHP 1,482,528 - 1,835,511; Full time

Job summary

NTT DATA, Inc. in Mexico City seeks a Technical Support Engineer to operate AI-driven solutions on Microsoft Azure, providing advanced technical support and troubleshooting across Azure AI services.

You will guide customers through reference architectures, assist with deployment and maintenance of AI workflows, and collaborate with Engineering, Product and Cloud Operations to resolve incidents within SLAs. English communication required.

Qualifications

• Bachelor's degree or equivalent experience in a technical field.
• 3+ years of experience with Microsoft Azure.
• 2+ years with Azure AI Foundry and 2+ years in Azure Machine Learning.
• Experience building RAG-based agents and using MCP or similar patterns.

Responsibilities

• Provide technical support for Azure AI Foundry environments and solutions.
• Troubleshoot Azure AI services, ML environments, RAG architectures, and related pipelines.
• Assist deployment, configuration, and maintenance of AI solutions in Azure.
• Analyze logs and telemetry to identify root causes and suggest fixes.
• Collaborate with Engineering, Product, and Cloud Operations on escalations.
• Document troubleshooting steps and runbooks.

Skills

Python

SQL

Azure Cloud

Azure AI Foundry

Azure Machine Learning

RAG architectures

CI/CD pipelines

Education

Bachelor's degree in Computer Science, Information Technology, Engineering, or related field

Tools

Azure DevOps

GitHub Actions

Azure Monitor

Job description

Technical Support Engineer – Azure AI Foundry

Location: Ciudad de Mexico, Mexico.

Job Summary

We are seeking a highly motivated Technical Support Engineer – Azure AI Foundry to support and operate AI‑driven solutions built on Microsoft Azure. The ideal candidate will provide advanced technical support, assist customers in implementing and maintaining AI architectures, and troubleshoot complex issues across Azure AI services.

Key Responsibilities

• Provide technical support for Azure AI Foundry environments and solutions.
• Troubleshoot and resolve issues related to Azure AI services, Azure Machine Learning environments, RAG architectures, Azure AI Search, Azure Document Intelligence, data pipelines, integrations, and model inference workflows.
• Support deployment, configuration, and maintenance of AI solutions in Azure.
• Analyze logs, metrics, and telemetry to identify root causes and recommend solutions.
• Collaborate with Engineering, Product, and Cloud Operations teams on escalations.
• Assist customers with implementation of reference architectures and best practices.
• Manage support incidents following SLA commitments.
• Document troubleshooting steps, runbooks, and knowledge base articles.
• Contribute to continuous improvement by identifying recurring issues.
• Support CI/CD pipelines and automation of AI workloads.
• Communicate clearly with stakeholders in English (written and verbal).

Required Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent experience).
• 3+ years of experience with Microsoft Azure.
• 2+ years of experience with Azure AI Foundry (mandatory).
• 2+ years of hands‑on experience in Azure Machine Learning (mandatory).
• 1+ year of practical experience building RAG‑based agents and using MCP or similar patterns.
• Experience in technical support, cloud operations, or AI/ML support roles.

Technical Skills

• Strong proficiency in Python (mandatory) and SQL (mandatory).
• Experience working with Azure Machine Learning, Cognitive Services, Azure OpenAI, Azure AI Search, Azure Document Intelligence, Azure Synapse Analytics, and SQL‑based systems.
• MLOps practices (model deployment, monitoring, versioning) and CI/CD pipelines (Azure DevOps, GitHub Actions, or similar).
• Understanding of AI/ML lifecycle, model deployment, Retrieval‑Augmented Generation (RAG) architectures, distributed cloud‑based systems, and production environment troubleshooting.

Preferred Qualifications

• Experience with Copilot Studio, Power Automate, and DevOps automation.
• Familiarity with data engineering workflows, Azure monitoring tools (Azure Monitor, Log Analytics).
• Exposure to enterprise‑scale AI implementations.

Soft Skills

• Strong problem‑solving and analytical thinking.
• Excellent communication skills (English B2 minimum; C1+ preferred).
• High resilience and ability to work under pressure.
• Customer‑focused mindset.
• Organizational and time‑management skills.
• Ability to manage multiple incidents simultaneously.
• Proactive attitude and continuous learning mindset.

Success Metrics

• SLA compliance and resolution times (MTTR).
• Customer Satisfaction (CSAT).
• Quality of technical documentation.
• Reduction in recurring issues.
• Effectiveness in supporting deployments and production environments.

Nice‑to‑Have Experience

• Supporting AI/ML workloads in production.
• Experience with enterprise Microsoft ecosystems.
• Exposure to automation workflows and low‑code platforms.
• Experience in global or 24x7 support teams.

NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For Pay Transparency information, please click here.

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