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Brillio

Architect - R01572475

Bengaluru · Staff/Principal

Recently posted - highest visibilityVerified listingPosted 1h ago

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Your match scoreCalculated · locked
86Overall
64Skills
97Experience

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What we know about this role

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Still inside it - posted 1h ago

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Skills required

8 listed
Retrieval-Augmented Generation (RAG)Solution ArchitectureMachine LearningMicrosoft AzurePrompt EngineeringFoundryMLOps (Machine Learning Operations)Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)Solution ArchitectureMachine LearningMicrosoft AzurePrompt Engineering

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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

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    Two ways in

    Applicants who checked fit first are 3.1× more likely to hear back

    Your match scoreCalculated · locked
    86Overall
    64Skills
    97Experience

    Your score for this role already exists

    ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

    No credit card · 1 tap with Google

    Free · no signup

    Get tomorrow's jobs before you have to search

    Daily job drops, skill trends and free resources - posted straight to the group. Leave any time.

    Join WhatsAppJoin Telegram

    No spam. Just jobs and resources.

    Why people use ASAI

    Someone shared one job with you. ASAI keeps finding the rest.

    • Scored, not searched. Every role ranked against your actual profile.

    • Alerts as often as hourly. Reach new roles while the pile is still small.

    • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

    • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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