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    Job · 19517504

    IBM logo

    Application Architect-AI Integration

    IBM · Pune · onsite · Posted 23d ago

    Undisclosed12–16 yrsfulltimeSourced fromNaukri

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

    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

    Skills

    SAP BasisSAP Basis AdministrationAsp.Net CoreDockerC SharpApplication ArchitecturesCloud Computingamazon web servicesEnterprise ArchitectureDot Net CoreOracle DBcloudSpring BootArchitectureMicroservicesMicrosoft AzureSap HanaIntegration

    About IBM

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    IBM

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