Senior Data & AI Solution Architect

Quality Ai; India; On-site; INR 4,200,000 - 6,600,000; Full time

Job summary

QualityAI is seeking a Senior Data & AI Solution Architect to lead enterprise data, analytics, and AI initiatives in a Microsoft-first environment. Translate business requirements into secure, scalable architectures and guide delivery through prototyping, reviews, and production readiness.

Ideal candidates will have hands-on depth in Power BI, Azure data platforms, and enterprise AI enablement, with strong collaboration across enterprise control functions and external suppliers.

Qualifications

• Bachelor’s degree in CS/IS/Engineering or related field.
• 10+ years IT experience with 5+ years in senior data/AI architecture roles.
• 5+ years hands-on with Azure data platforms (ADF, Databricks, SQL, data lake).
• Strong security, governance, and compliance experience.

Responsibilities

• Own end-to-end solution architecture for data, analytics, and AI use cases.
• Translate business needs into practical designs, target architectures, integration patterns, and delivery-ready implementation guidance.
• Lead hands-on prototyping, architecture reviews, troubleshooting, code/design reviews, and technical support for delivery teams.
• Ensure security, governance, compliance, and operational readiness are built into solutions from design through production deployment.

Skills

Data architecture

Solution architecture

Azure data

Power BI

Databricks

Azure Data Factory

Azure OpenAI

AI governance

Security governance

English fluency

Education

Bachelor's degree in Computer Science/Information Systems/Engineering

Tools

Azure DevOps

GitHub Enterprise

Copilot Studio

Purview

Job description

Senior Data & AI Solution Architect

Date: 3 Nov 2026

Company: QualityAI

Country/Region: IN

PositionJob title: Senior Data & AI Solution Architect

Reports to: Engineering group lead

Seniority: Senior / Lead Architect

Role purpose

We are seeking a highly hands‑on senior architect to lead solution design across enterprise data, analytics, and AI initiatives in a Microsoft-first environment. This role is responsible for translating business requirements into secure, scalable, supportable architectures and guiding delivery teams through design, prototyping, implementation, reviews, and production readiness. The ideal candidate combines strong architecture leadership with proven hands‑on depth in Power BI, Azure data platforms, and enterprise AI enablement.

Key responsibilities

• Own end-to-end solution architecture for data, analytics, and AI use cases, with accountability for design quality, security, scalability, supportability, and cost.
• Translate business needs into practical technical designs, target architectures, integration patterns, and delivery‑ready implementation guidance.
• Lead by example through hands‑on prototyping, architecture reviews, troubleshooting, code/design reviews, and technical support for delivery teams.
• Ensure security, governance, compliance, and operational readiness are built into solutions from design through production deployment.

Must have

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
• 10+ years of IT experience, including 5+ years in senior solution architecture roles for enterprise data, analytics, and AI platforms.
• 5+ years strong hands‑on experience with Azure‑based data platforms, including Azure Data Factory, Databricks, data lake architectures, SQL, and dimensional data modeling, with the ability to build practical end‑to‑end solution designs.
• Strong experience with enterprise security, governance, and compliance, and the ability to work effectively with enterprise architects and guiding or regulatory functions to ensure solutions meet organizational standards and control requirements.

Advantages

• Deep hands‑on expertise in Power BI architecture or similar BI technology, including semantic models, DAX, Power Query, workspace strategy, governance, performance optimization, and enterprise reporting patterns.
• Experience with Microsoft‑first AI platforms and services such as Azure OpenAI, Azure AI Foundry, Copilot Studio, Azure AI Search, Semantic Kernel, Prompt Flow, and enterprise AI governance patterns.
• Experience with Microsoft Fabric, Azure DevOps, GitHub Enterprise, and CI/CD for Data or AI solutions.
• Experience with Microsoft security and governance services such as Microsoft Entra, Purview, and Key Vault.
• Experience in life sciences, pharmaceuticals, or other regulated industries.
• Relevant Microsoft certifications in Azure, Power BI, data, or AI architecture. Excellent communication skills in English, with the ability to drive alignment across architects, delivery teams, business stakeholders, and enterprise control functions.

Key skills

• Hands‑on technical leadership with a clear lead‑by‑example mindset.
• Strong architecture judgment across data, analytics, AI, integration, security, and non‑functional requirements.
• Proven ability to own solution architecture end to end: shape target designs, validate them through prototyping or proof of concept where needed, guide delivery teams through implementation, and provide technical oversight through design reviews and production readiness checks.
• Ability to translate business problems into practical, delivery‑ready technical solutions.
• Strong troubleshooting, decision‑making, estimation, and risk management capability.
• Comfort working across distributed teams and external suppliers in enterprise delivery environments.

Core technology stack

• Analytics: Power BI, semantic models, DAX, Power Query, Databricks, enterprise reporting and governance.
• Data platform: Azure Data Factory, Databricks, Azure data lake, SQL, dimensional modeling, ETL/ELT, orchestration.
• AI platform: Azure OpenAI, Azure AI Foundry, Azure AI Search, Copilot Studio, Semantic Kernel, Prompt Flow.
• Engineering and governance: Azure DevOps, GitHub Enterprise, CI/CD, Microsoft Entra, Purview, Key Vault.
• Optional / advantageous: Microsoft Fabric, Python, data observability and monitoring patterns.