AI Engineer

Vertex Computer Systems, Inc.; Hyderabad; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

A leading IT solutions company based in Hyderabad seeks an AI Engineer/Developer to design and deploy AI solutions on Microsoft Azure and Azure Databricks. Candidates will develop AI/GenAI use cases, focusing on production automation and scaling. Key responsibilities include building data pipelines and integrating enterprise data with strong Python skills. The ideal candidate has hands-on experience with Azure and AI solutions. This role promises significant involvement in innovative projects and growth opportunities.

Qualifications

• Strong hands-on experience with Azure and Databricks, including deployment patterns.
• Experience building AI solutions and integrating them with enterprise data.
• Practical software engineering skills, particularly in Python.

Responsibilities

• Develop AI solutions using Azure Databricks.
• Build GenAI/LLM solutions using Azure OpenAI.
• Create CI/CD pipelines and operationalize MLOps.

Skills

Azure

Azure Databricks

Python

Data pipelines

AI solutions integration

Tools

MLflow

PySpark

SQL

Job description

We’re hiring an AI Engineer/Developer to design, build, and deploy AI solutions on Microsoft Azure and Azure Databricks (ADB). You will implement production-grade AI/GenAI use cases, from RAG-style knowledge assistants to AI-enabled analytics experiences, using Azure services and Databricks, with a strong focus on secure, scalable, and governed delivery. The role includes developing and operationalizing pipelines, integrating enterprise data sources, validating model outputs, and supporting pilot-to-production rollouts with CI/CD and MLOps practices.

What you’ll do

• Develop on Azure Databricks (with governed data/catalog patterns) and enable conversational/AI experiences on top of curated datasets using AI Genie.
• Build GenAI/LLM solutions using Azure OpenAI + Azure AI Search and integrate with enterprise content and permissions.
• Create AI/ML models for solving business use cases related to prediction, forecasting and risk mitigation using DBML, MLflow or Azure ML.
• Create deployment automation:CI/CD pipelines, MLOps setup, validation and monitoring, and support pilot rollout and iteration.

What you bring

• Strong hands-on engineering experience with Azure and Azure Databricks, including data pipelines and production deployment patterns.
• Experience building and integrating AI solutions (LLMs/RAG/MCP, embeddings, APIs) and grounding responses in enterprise data.
• Practical software engineering skills (Python) and comfort collaborating with data, security, and business stakeholders.

Preferred Technical Skills

• Azure Databricks (Lakehouse architecture)
• PySpark and SQL development
• Medallion architecture (Bronze / Silver / Gold)
• Data ingestion using Auto Loader and Delta Live Tables (DLT)
• Unity Catalog (governance, metadata, lineage, RBAC)
• Model retraining and lifecycle management
• MLflow for experiment tracking and model management
• CI/CD and MLOps for model deployment and operations
• Production rollout, monitoring, and operational support

Apply to Vertex

Candidatedetails

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