GenAI Testing Consultant at Infosys | TopGenAIJobs

GenAI Testing Consultant

Infosys

Bengaluru / Pune / Hyderabad / Chennai

5-20 years

Today

₹23–44 LPA

Full-time

Onsite

Skills Required

LLM

RAG

Prompt Engineering

agentic-based solutions

LLMOps

Gen AI

tool/function calling

automated evaluation frameworks

MLOps

experiment tracking

model registry

observability

drift detection

incident response

Machine Learning

Description

Infosys Limited is seeking a GenAI Testing Consultant/Architect to lead and architect Generative AI solutions and testing frameworks.

Company: Infosys Limited

Role: GenAI Testing Consultant/Architect

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

Experience:

5 - 20 Years

Key Skills:

Generative AI
Machine Learning
Python
Data Science
AI languages
MCP
Agentic-based solutions
Cloud AI architectures
AWS
Azure
GCP
LLM application patterns
RAG
Tool/function calling
Prompt engineering
Automated evaluation frameworks
MLOps
LLMOps
Experiment tracking
Model registry
CI/CD
Observability
Drift detection
Incident response
Data engineering
Feature stores
Batch processing
Stream processing

Qualification:

Bachelor of Engineering

Role Focus:

Lead discovery workshops to identify high-value GenAI and ML use cases
Define success metrics and create solution roadmaps
Architect end-to-end Generative AI systems including data pipelines and deployment patterns
Design and implement ML/AI solutions using Python or other relevant languages
Build MCP and agentic-based solutions with workflow orchestration and multi-step reasoning
Test and validate GenAI applications using relevant tools and frameworks
Capture, analyze, and report quality metrics and drive continuous improvement
Collaborate with cloud and platform teams for scalable Cloud AI architectures
Explore and evaluate new technologies and testing methodologies
Lead architecture governance and create reference architectures
Drive adoption of architectures across teams and portfolios

Additional responsibilities:

Stay up-to-date with advancements in Generative AI and evaluation practices

Nice to have:

Agile methodologies
CI/CD pipelines
API testing
SQL/Database basics

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.

Deep Learning Specialization

Coursera

Five-course deep learning series covering CNNs, RNNs, transformers, and ML strategy.

Introduction to Generative AI

Coursera

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