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    Job · 13648039

    Talentmatics logo

    AI Architect

    Talentmatics · Bengaluru · onsite · Posted 58d ago

    Not disclosed10–12 yrsfulltimeSourced fromFoundit

    About a minute. You'll make an account on the way through.

    About this role

    We are seeking 10+ years of experienced AI Architecture & Leadership Manager to lead the design, implementation, and governance of enterprise-scale AI and Generative AI solutions. The ideal candidate will possess deep expertise in AI architecture, cloud-native platforms, LLM ecosystems, Agentic AI, and enterprise application integration while leading multidisciplinary teams to deliver innovative business solutions.

    Experience- 10+

    Location- Bengaluru/Hyderabad/Mumbai/Pune

    Key Responsibilities

    AI Strategy & Leadership

    • Define and execute the organization's AI and Generative AI roadmap aligned with business objectives.
    • Lead AI transformation initiatives and drive enterprise-wide AI adoption.
    • Partner with business leaders, product owners, and executive stakeholders to identify AI opportunities and create innovation strategies.
    • Build and mentor high-performing AI engineering, architecture, and data science teams.
    • Establish AI governance, responsible AI practices, and risk management frameworks.

    Architecture & Solution Design

    • Architect enterprise-scale AI/GenAI platforms and solutions.
    • Define end-to-end architectures covering data ingestion, model orchestration, RAG pipelines, vector databases, AI agents, integrations, security, and monitoring.
    • Drive architecture decisions for LLM-based applications utilizing Azure OpenAI, AWS Bedrock, and other foundation model ecosystems.
    • Establish AI platform standards, reusable frameworks, and enterprise best practices.
    • Design scalable multi-agent and Agentic AI systems.

    Delivery & Program Management

    • Oversee the delivery of complex AI programs from ideation to production deployment.
    • Manage architecture reviews, technical governance, and solution quality.
    • Ensure AI solutions meet scalability, performance, security, and compliance standards.
    • Collaborate with engineering, DevOps, MLOps, and cloud teams to enable successful deployments.
    • Drive continuous improvement and innovation across AI initiatives.

    Sourced from foundit

    Skills

    AI agents integrationsData ingestionAI Architectureaws bedrockMonitoringEnterprise Application IntegrationAzure OpenAIvector databasesRAG Pipelinescloud-native platformsLLM ecosystemsmodel orchestrationSecurityAgentic Ai

    AI Architect · waiting for your command