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    Home/Jobs/Technical Consultant-AI Integration

    Technical Consultant-AI Integration

    IBM

    Bengaluru
    3-5 years
    Today
    ₹15–28 LPA
    Full-time
    Onsite

    Skills Required

    LLM
    RAG
    LLMOps
    API Integration
    event-driven patterns
    workflow automation
    AWS
    Azure
    GCP
    Guardrails AI
    NeMo Guardrails
    Multi-agent systems

    Description

    A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact.

    Company: IBM

    Role: Technical Consultant-AI Integration

    Location: Bangalore, Karnataka, India

    Experience:

    • Years of Experience: 3 - 5

    Key Skills:

    • API integration
    • event-driven patterns
    • workflow automation
    • LLMOps practices
    • AWS
    • Azure
    • GCP
    • Guardrails AI
    • NeMo Guardrails

    Qualification:

    • Bachelor's Degree
    • Master's Degree (Preferred)

    Role Focus:

    • Lead the implementation and composing of tool-using agents that interact with APIs, databases, and knowledge systems
    • Leading a team of AI/ML Engineers to implement multi-agent systems
    • Building persistent agent memory systems (short-, long-, and episodic memory)
    • Implementing fault-tolerant orchestration for multi-agent pipelines
    • Building and scaling cloud-native systems
    • Simulation and testing of multi-agent interactions for scalability, safety, and emergent behaviours
    • Building guardrail systems
    • Embedding compliance and observability hooks in every agent interaction

    Other:

    • Collaborate closely with architects, data engineers, and business stakeholders to validate requirements, deliver proofs of concept, and harden solutions for production
    • Develop connectors, build Retrieval-Augmented Generation (RAG) pipelines, configure prompts and guardrails, and implement observability, performance tuning, and cost optimization measures

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Generative AI with Large Language Models

    Coursera

    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

    Large Language Models: Application through Production

    edX

    Production-focused LLM course covering deployment, monitoring, and scaling.

    AWS Machine Learning Specialty

    Coursera

    Prepare for the AWS ML Specialty certification — SageMaker, Bedrock, and AI services.

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