Architect - R01572475

Brillio 2
Bangalore +1 more
On-site

Who this role is best for

Best suited to seasoned AI architects with a focus on cloud technologies and enterprise-scale solutions working in India.

Best fit for

  • Seasoned AI architects with 7 to 10 years of experience in cloud platforms and solution design
    — “at least 7 to 10 years of experience in AI, advanced analytics, cloud platforms, and solution architecture”
  • Candidates who have led AI platform modernization and can design scalable, secure solutions
    — “designing scalable, secure, and production-ready AI and analytics solutions”
  • Individuals with a strong grasp of Generative AI, machine learning, and MLOps practices
    — “Define architecture patterns and frameworks for Generative AI, machine learning, advanced analytics, and intelligent applications”

Things to consider

  • The role requires a strong alignment with enterprise priorities and governance standards
    — “ensure AI investments are aligned with enterprise priorities”
  • Candidates must be prepared to evaluate and integrate emerging AI technologies regularly
    — “Evaluate emerging AI platform capabilities and technologies to identify opportunities”

How to stand out

  • Highlight experience with Azure Foundry and AI orchestration in your resume and interview responses
    — “Design and implement AI solutions utilizing Azure Foundry, Azure AI services”
  • Emphasize your ability to define architecture patterns and frameworks for Generative AI
    — “Define architecture patterns and frameworks for Generative AI”
  • Demonstrate your track record in translating business use cases into AI solutions
    — “Translate complex business use cases into scalable AI, analytics, and technology architectures”
  • Showcase your knowledge of AI governance, security, and responsible AI practices
    — “Establish standards and best practices for AI platform engineering, integration, governance, security”
  • Demonstrate your understanding of AI platform automation and operationalization
    — “Provide architectural guidance to delivery teams and stakeholders”
Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • delivering enterprise AI platforms and advanced analytics solutions
  • establishing standards and best practices for AI platform engineering
Typical background
7 to 10 years of experience in AI, advanced analytics, cloud platforms, and solution architecture

Skills & requirements

Required

AI ArchitectureCloud PlatformsSolution ArchitectureAI GovernanceMlops

Preferred

LlmopsAI ObservabilityModel Lifecycle Management

Stack & domain

AIAdvanced AnalyticsCloud PlatformsSolution ArchitectureAzure FoundryAzure AI ServicesCloud-native TechnologiesGenerative AIMachine LearningAdvanced Analytics ArchitecturesEnterprise Cloud PlatformsData Platform EngineeringAPI DesignIntegration PatternsModern AI Solution ArchitecturesAI GovernanceResponsible AIOperationalization Best PracticesMlopsAI Platform AutomationGenai PatternsLlmopsAI ObservabilityModel Lifecycle ManagementCollaborationLeadershipProblem-solvingTeamworkMicrosoft Certified: Azure Solutions Architect ExpertMicrosoft Certified: Azure AI Engineer Associate

About the role

Original posting from Brillio 2 via Lever

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 prioritiesRequired 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 automationPreferred 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 outcomesDesired 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

Source: Brillio 2 careers (Lever)

Similar roles