Azure Solution Architect-4 Days Onsite

We are seeking an experienced Solution Architect to design and lead enterprise-scale cloud, data, and AI solutions on Microsoft Azure. This role will drive end-to-end delivery of modern data platforms, Azure Databricks, and GenAI/LLM-powered solutions, ensuring scalability, security, performance, and governance in production environments.

Key Responsibilities

• Design and architect scalable, secure, and high-availability Azure solutions using best-in-class cloud and data architecture patterns.

• Define end-to-end architecture for modern data platforms using Azure Databricks, Apache Spark, Delta Lake, and Lakehouse architectures.

• Lead the design and implementation of GenAI/LLM-based solutions, including:

  • Intelligent search & knowledge augmentation

  • Conversational AI and Q&A systems

  • Text summarization, content generation, and automation use cases

• Architect and implement Azure OpenAI Service and Cognitive Services integrations.

• Establish CI/CD, DataOps, and MLOps pipelines using Azure DevOps, Azure ML, and Git-based workflows.

• Provide architectural governance around prompt engineering, model safety, hallucination mitigation, and responsible AI practices.

• Ensure compliance with security, privacy, and regulatory standards, including IAM, encryption, PII masking, and data access controls.

• Optimize cloud infrastructure and model inference for performance, cost efficiency, scalability, and reliability.

• Define monitoring strategies for data pipelines and AI models, tracking accuracy, latency, bias, drift, and cost metrics.

• Collaborate with business stakeholders, product teams, and engineering teams to translate requirements into robust technical solutions.

• Mentor architects and engineers, providing technical leadership across delivery teams.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

• 15+ years of experience in cloud architecture, data engineering, or analytics platforms.

• Strong hands-on expertise with Azure Databricks and Apache Spark.

• Experience with Azure OpenAI Service, LLM platforms, or managed AI services.

• Advanced proficiency in Python and strong SQL skills.

• Deep experience with Microsoft Azure services (ADLS, ADF, Synapse, Azure ML, Key Vault, DevOps).

• Solid understanding of Lakehouse, Delta Lake, and modern data warehousing patterns.

• Experience implementing MLOps, model versioning, CI/CD automation, and production monitoring.

• Strong understanding of data governance, security, privacy, and ethical AI principles.

• Excellent communication, leadership, and stakeholder management skills.

Nice-to-Have

• Azure certifications (Azure Solutions Architect Expert, Data Engineer Associate).

• Experience with multi-cloud AI architectures or hybrid environments.

• Exposure to real-time streaming platforms and event-driven architectures.