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    Home/Jobs/Technical Consultant-AI Integration

    Technical Consultant-AI Integration

    IBM

    Bengaluru
    6-8 years
    Today
    ₹23–44 LPA
    Full-time
    Onsite

    Skills Required

    LLM
    RAG
    LangChain
    Gen AI
    LLMOps
    Python
    API Integration
    Event-driven patterns
    Workflow automation
    Cloud-native systems
    AWS
    Azure
    GCP
    Guardrails AI
    NeMo Guardrails

    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:

    • 6 - 8 years of experience

    Key Skills:

    • API integration
    • event-driven patterns
    • workflow automation
    • LLMOps practices
    • cloud-native systems
    • 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
    • Implementing fault-tolerant orchestration for multi-agent pipelines
    • Building and scaling cloud-native systems
    • Simulation and testing of multi-agent interactions
    • 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
    • Focus on reliability, scalability, and responsible AI principles throughout the delivery lifecycle

    Prepare for this role

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

    Python for Everybody Specialization

    Coursera

    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

    Generative AI with Large Language Models

    Coursera

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

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