Generative AI Engineer for Data Analytics

Infosys Limited; Florida; On-site; USD 95,000 - 135,000; Full time

Benefits offered by this job

Long-term/Short-term Disability

Health and Dependent Care Reimburse…

Insurance (Accident, Critical Illness,

401(k) plan

Job summary

Infosys Limited is seeking a Technology Consultant 2 in Florida to contribute to AI-powered data analytics projects and robust software solutions. You will document requirements, guide design discussions, and help integrate features across the SDLC.

You will participate in code reviews, implement test strategies, and build training materials, while collaborating with cross-functional teams to ensure stability and scalable deployments.

Qualifications

• Bachelor’s degree or foreign equivalent required from an accredited institution.
• Will also consider three years of progressive experience in the specialty in lieu of every year of education.

Responsibilities

• Document assigned parts of business requirements and assist elicitation.
• Facilitate software design discussions and record design decisions.
• Participate in coding and integrate features while maintaining stability.
• Conduct code reviews and maintain code repositories.
• Implement test strategies and coordinate bug fixes.
• Develop user training, documentation, and support frameworks.
• Resolve production issues and suggest preventive measures.
• Maintain records of code, tests, and support activities.

Skills

Python

SQL

Data Engineering

ML / Generative AI

RAG

AI Frameworks

Vector Databases

SDLC

Education

Bachelor’s degree or foreign equivalent

Tools

PySpark

FastAPI

Job description

Infosys Limited is seeking a Technology Consultant 2 in Florida to contribute to AI-powered data analytics projects and robust software solutions. You will document requirements, guide design discussions, and help integrate features across the SDLC.

You will participate in code reviews, implement test strategies, and build training materials, while collaborating with cross-functional teams to ensure stability and scalable deployments.