GenAI Testing Consultant / Architect @ Infosys

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Posted 55 days ago — confirm the vacancy is still active.

GenAI Testing Consultant / Architect

Infosys
5 - 10 years
Bengaluru
2 months ago
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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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Desired Industry (*):

Functional area / Department (*):

Enter Skills (key skills, subjects, technologies & roles to use in search)

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Attach ResumeMax 2.38 MB (RTF, PDF, DOC, DOCX formats only parsed)

Please, check the file size and type.

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