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GenAI Testing Consultant / Architect @ Infosys

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Infosys  GenAI Testing Consultant / Architect

Job Description

Educational Requirements
Bachelor of Engineering
Service Line
Infosys Quality Engineering
Responsibilities
  • Lead discovery workshops to identify high-value GenAI and ML use cases, define success metrics (standard and custom), and create solution roadmaps
  • Architect end-to-end Generative AI systems, including data pipelines, model selection, orchestration, evaluation, and deployment patterns using Infosys and industry-standard tools and platforms
  • Design and implement ML/AI solutions using Python (or other relevant Data Science/AI languages), applying strong software engineering practices for maintainability, performance, and reliability
  • Build MCP and agentic-based solutions using appropriate frameworks, enabling tool/function calling, workflow orchestration, and multi-step reasoning patterns aligned to business needs
  • Test and validate GenAI applications using relevant tools and frameworks; capture, analyze, and report standard and custom quality metrics (e g , relevance, groundedness, toxicity, latency, cost) and drive continuous improvement
  • Collaborate with cloud and platform teams to design scalable Cloud AI architectures and cost-efficient deployments across AWS, Azure, or GCP
  • Explore and evaluate new technologies, tools, and testing methodologies to improve development processes and solution quality; stay up-to-date with advancements in Generative AI and evaluation practices
Additional Responsibilities:
Good to have skills: Agile methodologies, CI/CD pipelines, API testing, SQL/Database basicsLocation: BANGALORE, PUNE, HYDERABAD, CHENNAI, TVM, INDORE, NAGPUR, MLR, MYS, NOIDA, BBSR, KOLKATA, COIMBATORE, HUBLI
Technical and Professional Requirements:
  • 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: experiment tracking, model registry, CI/CD, observability, drift detection, and incident response for AI services
  • Experience with data engineering concepts (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
Preferred Skills:
Technology->Cloud Testing->Cloud Testing - ALL
Technology->data science->PYTHON
Technology->Data Science->Machine Learning
Technology->Machine Learning->Generative AI

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: DevOps
Role: DevOps Consultant / Architect
Employement Type: Full time

Contact Details:

Company: Infosys
Location(s): Bengaluru

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Keyskills:   llm mlops python data pipelines workflow orchestration ai machine learning data engineering sql incident response data science gcp use cases software engineering agile performance optimization aws api testing architecture azure

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Infosys

ABOUT US : Artech Infosystem: Artech Infosystem is a global leader in providing intelligent business solutions. With a strong presence in the USA, Canada, India, and beyond, we specialize in Workforce Solutions, Managed Services, and Project Delivery. Our expertise spans across various indust...