Architect - R01572475

Brillio; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Brillio is seeking an experienced Architect to lead design and delivery of enterprise AI platforms and advanced analytics solutions. You will translate business requirements into scalable, secure AI architectures leveraging Azure Foundry and Azure AI services, while guiding governance and operationalization across teams.

The role focuses on Generative AI, ML, and analytics with a strong emphasis on scalable cloud-native architectures and cross-functional collaboration to deliver measurable

Qualifications

• Bachelor's degree in Computer Science, IT, Data Science, or closely related discipline.
• Microsoft Certifications: Azure Solutions Architect Expert and Azure AI Engineer Associate.

Responsibilities

• Architect and deliver enterprise AI platforms and advanced analytics solutions aligned with business objectives.
• Translate complex business use cases into scalable AI, analytics, and technology architectures using cloud and AI capabilities.
• Design and implement AI solutions utilizing Azure Foundry, Azure AI services, and cloud-native tech for scalability, security, production readiness.
• Define architecture patterns for Generative AI, ML, analytics, and intelligent applications.
• Collaborate with business, data, engineering, and platform teams to drive AI initiatives end-to-end.
• Establish standards for AI platform engineering, governance, security, and operationalization.
• Evaluate emerging AI platform capabilities to improve business outcomes.
• Provide architectural guidance to delivery teams to align AI investments with enterprise priorities.

Skills

Azure Foundry

Azure AI services

Scalable AI solutions

Generative AI architectures

MLOps

API design

AI governance

Security & production readiness

Education

Bachelor's degree in Computer Science/IT/Data Science

Azure Solutions Architect Expert

Azure AI Engineer Associate

Job description

Architect

Job requirements

Experience Range:

With at least 7 to 10 years of experience in AI, advanced analytics, cloud platforms, and solution architecture, including demonstrated expertise in translating business requirements into scalable, secure, production-ready AI solutions

Key Responsibilities:

• Architect and deliver enterprise AI platforms and advanced analytics solutions that align with business objectives and drive measurable outcomes
• Translate complex business use cases into scalable AI, analytics, and technology architectures leveraging modern cloud and AI capabilities
• Design and implement AI solutions utilizing Azure Foundry, Azure AI services, and cloud-native technologies to ensure scalability, security, and production readiness
• Define architecture patterns and frameworks for Generative AI, machine learning, advanced analytics, and intelligent applications
• Collaborate with business, data, engineering, and platform teams to drive AI initiatives from ideation through implementation
• Establish standards and best practices for AI platform engineering, integration, governance, security, and operationalization
• Evaluate emerging AI platform capabilities and technologies to identify opportunities for improving business outcomes
• Provide architectural guidance to delivery teams and stakeholders to ensure AI investments are aligned with enterprise priorities

Required Skills:

• Microsoft Azure AI technologies, including Azure Foundry and Azure AI services
• Designing scalable, secure, and production-ready AI and analytics solutions
• Generative AI, machine learning, and advanced analytics architectures
• Enterprise cloud platforms and data platform engineering
• API design, integration patterns, and modern AI solution architectures
• AI governance, security, responsible AI, and operationalization best practices
• MLOps and AI platform automation

Preferred Skills:

• Leading enterprise AI transformation and platform modernization initiatives
• GenAI patterns, including LLM applications, Retrieval-Augmented Generation (RAG), agents, prompt engineering, and AI orchestration
• Building reusable AI platforms and accelerators for enterprise-scale adoption
• LLMOps, AI observability, and model lifecycle management
• Connecting AI platform capabilities to measurable business outcomes

Desired Qualifications:

• Bachelor's degree in Computer Science, Information Technology, Data Science, or a closely related discipline
• Microsoft Certified: Azure Solutions Architect Expert
• Microsoft Certified: Azure AI Engineer Associate