Generative AI Engineer — Cloud-Native & ML Systems

Infosys; Phoenix (AZ); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Medical Insurance

401(k) Plan

Paid holidays

Disability Insurance

Life Insurance

Job summary

Infosys is seeking senior technologists to tackle large-scale, cloud-native challenges in the Strategic Technology Group (STG). The role emphasizes deep technical leadership, architecture, and hands-on delivery across AI, ML, NLP, and data platforms in a global delivery context.

Candidates should have strong Python skills and experience with frameworks like TensorFlow or PyTorch, plus cloud platforms such as AWS, GCP, or Azure.

Qualifications

• Experience in developing and applying generative AI models.
• Strong understanding of ML fundamentals, DL architectures, and NLP.
• Proficiency in Python and DL frameworks like TensorFlow or PyTorch.
• Design, develop, and deploy generative AI models for varied apps.
• Fine-tune pre-trained LLMs for task-specific needs and domains.

Responsibilities

• Analyze user stories and ensure production-ready delivery.
• Develop scalable, optimized code and support automation.
• Prototype new tech and assist in reusable asset creation.
• Lead technical risk management and ensure QoS requirements.
• Collaborate with data scientists, engineers, and PMs to define work.
• Mentor team members and contribute to best practices.

Skills

Generative AI

Machine Learning

Python

NLP

Deep Learning

LLMs

AI deployment

Software architecture

Mentoring

Education

Bachelor's degree

Tools

TensorFlow

PyTorch

OpenShift

AWS

GCP

Azure

Job description

Infosys is seeking senior technologists to tackle large-scale, cloud-native challenges in the Strategic Technology Group (STG). The role emphasizes deep technical leadership, architecture, and hands-on delivery across AI, ML, NLP, and data platforms in a global delivery context.

Candidates should have strong Python skills and experience with frameworks like TensorFlow or PyTorch, plus cloud platforms such as AWS, GCP, or Azure.