Gen AI+GCP-L

Infosys; Hyderabad, Pune District, Bengaluru; Hybrid; INR 1,200,000 - 2,100,000; Full time

Job summary

Infosys Hyderabad is seeking a Gen AI+GCP engineer with 2–5 years of experience to develop and deploy Generative AI solutions. The role involves building AI/ML models, data pipelines, and RAG applications to address business use cases.

You will work with AWS, GCP, Databricks, and Snowflake, collaborate with data teams, and ensure data quality, security, and governance across AI workflows. The position is full-time and on-site in Hyderabad.

Qualifications

• 2–5 years of experience in Gen AI or ML projects.
• Experience deploying AI/ML solutions in cloud environments.
• Strong Python and SQL skills.
• Ability to design data pipelines and MLOps basics.

Responsibilities

• Develop and deploy Generative AI solutions using LLMs.
• Build, test, and optimize AI/ML models for business use cases.
• Design and implement data pipelines to process large datasets.
• Work with AWS, GCP, Databricks, or Snowflake for AI workloads.
• Develop and maintain RAG applications and AI-powered assistants.
• Create prompts, workflows, and integrations for Generative AI apps.
• Collaborate with Data Engineers and Data Scientists to gather requirements.
• Support model deployment, monitoring, and performance optimization.
• Use Python, SQL, and cloud-native tools for data processing.
• Ensure data quality, security, and governance in AI workflows.
• Troubleshoot issues related to AI models and cloud infra.
• Stay updated with Generative AI technologies.

Skills

Generative AI

LLMs

Python

SQL

Data pipelines

Tools

AWS

GCP

Databricks

Snowflake

Job description

Position: Gen AI+GCP

Experience: 2 to 5 years

Location: Hyderabad

Employment Type: Full-Time

Roles & Responsibilities

• Develop and deploy Generative AI solutions using LLMs and modern AI frameworks.
• Build, test, and optimize AI/ML models for business use cases.
• Design and implement data pipelines to prepare, transform, and process large datasets.
• Work with cloud platforms such as AWS, GCP, Databricks, or Snowflake to support AI workloads.
• Develop and maintain RAG (Retrieval Augmented Generation) applications and AI-powered assistants.
• Create prompts, workflows, and integrations for Generative AI applications.
• Collaborate with Data Engineers, Data Scientists, and business teams to gather requirements and deliver AI solutions.
• Support model deployment, monitoring, and performance optimization activities.
• Utilize Python, SQL, and cloud-native tools for data processing and model development.
• Ensure data quality, security, and governance standards are followed across AI and data engineering workflows.
• Troubleshoot and resolve issues related to AI models, data pipelines, and cloud infrastructure.
• Stay updated with emerging technologies in Generative AI, LLMs, data engineering, and cloud platforms.