Architect - R01572475

Brillio 2; Bengaluru; Presencial; INR 4.000.000 - 7.000.000; Jornada completa

Descripción de la vacante

Brillio 2 is seeking an Architect with 7–10 years of experience in AI, analytics, and cloud platforms to design scalable, production-ready AI solutions. You will translate business requirements into robust architectures and guide delivery teams in implementing secure, governed AI platforms.

Role demands expertise in Generative AI, ML, and enterprise cloud architectures, with a focus on governance, security, and operationalization across AI initiatives.

Formación

• 7–10 years of experience in AI, analytics, cloud platforms, and solution architecture.
• Proven ability to translate business requirements into scalable AI solutions.
• Experience with Azure Foundry and Azure AI services.

Responsabilidades

• Architect and deliver enterprise AI platforms and analytics solutions aligned with business objectives.
• Translate complex use cases into scalable AI, analytics, and technology architectures.
• Design AI solutions using Azure Foundry and cloud-native tech for production readiness.
• Define architecture patterns for Generative AI, ML, and analytics.
• Collaborate with cross-functional teams to drive AI initiatives from ideation to implementation.
• Establish standards for AI platform engineering, governance, security, and operationalization.
• Evaluate emerging AI technologies to improve business outcomes.
• Provide architectural guidance to delivery teams and stakeholders.

Conocimientos

Azure Foundry

Azure AI services

Generative AI

Machine Learning

API design

MLOps

AI governance

Security best practices

Educación

Bachelor's degree in CS/IT/DS

Azure Solutions Architect Expert

Azure AI Engineer Associate

Herramientas

Azure Kubernetes Service

DevOps tools

Descripción del empleo

Architect

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