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    Home/Jobs/GenAI Testing Consultant/Architect

    GenAI Testing Consultant/Architect

    Infosys Limited

    Bengaluru / Pune / Hyderabad / Chennai
    4-15 years
    Today
    ₹15–28 LPA
    Full-time
    Onsite

    Skills Required

    LLM
    RAG
    Prompt Engineering
    Agentic AI
    Gen AI
    LLMOps
    Tool/function calling
    Automated evaluation frameworks
    MLOps
    Experiment tracking
    Model registry
    Observability
    Drift detection
    Incident response
    Feature stores

    Description

    Infosys Limited is seeking a GenAI Testing Consultant/Architect to lead and architect Generative AI solutions with a focus on testing, deployment, and cloud integration.

    Company: Infosys Limited

    Role: GenAI Testing Consultant/Architect

    Location: BANGALORE, PUNE, HYDERABAD, CHENNAI, TVM, INDORE, NAGPUR, MLR, MYS, NOIDA, BBSR, KOLKATA, COIMBATORE, HUBLI

    Experience:

    • 4 - 15 Years
    • Experience architecting Cloud AI solutions including scalable inference, data security patterns, and cost/performance optimization
    • Hands-on experience with LLM application patterns such as RAG, tool/function calling, prompt engineering, and automated evaluation frameworks
    • Strong MLOps/LLMOps expertise including experiment tracking, model registry, CI/CD, observability, drift detection, and incident response for AI services
    • Experience with data engineering concepts such as feature stores, batch/stream processing to support ML and GenAI workloads
    • Proven ability to lead architecture governance, create reference architectures, and drive adoption across teams and portfolios

    Qualification:

    • Bachelor of Engineering

    Responsibilities:

    • Lead discovery workshops to identify high-value GenAI and ML use cases and define success metrics
    • Architect end-to-end Generative AI systems including data pipelines, model selection, orchestration, evaluation, and deployment
    • Design and implement ML/AI solutions using Python or other relevant AI languages with strong software engineering practices
    • Build MCP and agentic-based solutions enabling tool/function calling, workflow orchestration, and multi-step reasoning
    • Test and validate GenAI applications using relevant tools and frameworks and report quality metrics
    • Collaborate with cloud and platform teams to design scalable Cloud AI architectures and cost-efficient deployments
    • Explore and evaluate new technologies, tools, and testing methodologies to improve development processes and solution quality

    Additional responsibilities:

    • Drive continuous improvement of GenAI application quality metrics such as relevance, groundedness, toxicity, latency, and cost

    Nice to have:

    • Agile methodologies
    • CI/CD pipelines
    • API testing
    • SQL/Database basics
    • Knowledge of Generative AI - Basic
    • Agent Engineering

    More skills:

    Machine Learning, Python, Data Science, AI languages, MCP and agentic-based solutions, Cloud AI architectures, AWS, Azure, GCP, Data engineering, CI/CD, API testing, SQL, Batch processing, Stream processing

    Other:

    • Service Line: Infosys Quality Engineering
    • Job ID/Reference Code: INFSYS-EXTERNAL-248707

    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.

    Introduction to Generative AI

    Coursera

    Google Cloud introduction covering Gen AI concepts, model types, and Google AI tools.

    Large Language Models: Application through Production

    edX

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

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