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    Job · 21312700

    PUNE · FULLTIME

    Application Architect-AI Integration

    IBM

    IBM

    Pune · onsite · Posted 4d ago

    Sourced fromNaukri
    Undisclosed12–16 yrsfulltimePune

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    Section · 01

    About this role

    Your Role and Responsibilities:
    As an Application Architect for AI Integration, this role is responsible for designing and governing end-to-end architectures that embed AI capabilities into enterprise applications and workflows. The Application Architect collaborates with stakeholders to translate business objectives into scalable designs, balancing vendor-managed services with custom development, and drives governance for AI integration.
    Your Primary Responsibilities Will Include:
    • Designing Architectures: defining reference patterns for AI services, models, and orchestration layers to integrate seamlessly with existing systems, APIs, and data platforms.
    • Collaborating with Stakeholders: translating business objectives into scalable, resilient, and policy-compliant designs, ensuring performance, security, compliance, and cost objectives are met.
    • Governing AI Integration: driving governance for prompts, guardrails, and lifecycle management, ensuring observability, privacy, and responsible AI principles are embedded from design through operations.
    Required Education:
    Bachelor's Degree
    Preferred Education:
    Master's Degree
    Required Technical and Professional Expertise:
    • AI Architecture Design: Experience with designing end-to-end architectures that embed AI capabilities into enterprise applications and workflows, ensuring seamless integration with existing systems, APIs, and data platforms.
    • Technical Governance: Experience with driving governance for prompts, guardrails, and lifecycle management, ensuring observability, privacy, and responsible AI principles are embedded from design through operations.
    • Reference Pattern Development: Experience with defining reference patterns for AI services, models, and orchestration layers, including Retrieval-Augmented Generation (RAG) and hybrid reasoning.
    • Stakeholder Collaboration: Experience with collaborating with stakeholders to translate business objectives into scalable, resilient, and policy-compliant designs, balancing vendor-managed services with custom development.
    • AI Service Integration: Experience with integrating AI services, models, and orchestration layers with existing systems, APIs, and data platforms, meeting performance, security, compliance, and cost objectives.
    Preferred Technical and Professional Experience:
    • Advanced AI Concepts: Experience with emerging AI technologies and trends, such as explainable AI and edge AI, can be beneficial.
    • Cloud Native Services: Knowledge of cloud-native services and serverless architectures can be advantageous in designing scalable AI integrations.
    • Data Platform Integration: Familiarity with integrating AI services with various data platforms and APIs can be useful.
    Years of Experience:12 - 16

    Sourced from naukri

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    Section · 02

    Skills

    observabilityRetrieval Augmented Generationai integrationorchestrationapisai servicescloud nativedata platformsai technologiesenterprise applicationsintegrationsEmbedded SystemscloudArchitectureoperationscomplianceArtificial Intelligence

    Section · Company

    About IBM

    IBM

    IBM

    IT Services & Consulting

    130k+

    employees

    1911

    115 years old

    Bangalore / Bengaluru, Karnataka

    India

    About

    IBM has been dedicated to every client's success and to creating innovations that matter for the world.

    Industries

    IT Services & ConsultingFinancial ServicesEmerging Technologies

    Employee ratings

    25,767 reviews

    3.9/ 5

    Culture

    3.9

    Career growth

    3.0

    Work-life

    4.0

    Employees rate it well for

    Work Life Balance4166Salary3460Work Culture2867Learning2246Senior Management1890

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