Python AI Engineer - AWS & Generative AI

Infosys Limited; Plano (TX); On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Disability benefits

Health reimbursement accounts

Insurance options

401(k) plan

Job summary

Infosys is hiring a Technology Consultant 2 to join our US delivery team in Plano, TX. The role focuses on building AI-driven solutions for financial services, including design, development, deployment, and governance of ML models and AI agents.

You will work across the SDLC from requirements to implementation, collaborating with cross-functional teams to deliver scalable, robust AI-enabled applications. Eligible candidates should have strong Python skills, ML libraries experience, and cloud

Qualifications

• Experience in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience in design, development, and fine-tuning machine learning models, including LLMs and generative AI.
• Experience with AWS services, especially SageMaker, Bedrock, S3, EC2, and Lambda; familiarity with ML ops practices.

Responsibilities

• Contribute to requirements elicitation by documenting assigned business requirements in line with guidance.
• Facilitate software design discussions and document decisions to guide the technical team.
• Participate in coding and integrate new features into existing applications with focus on stability.
• Conduct code reviews and maintain code repositories.
• Implement test strategies, analyze results, and coordinate bug fixes.

Skills

Python

ML Libraries

AWS

SageMaker

LLMs

Prompt Engineering

ML Engineering

Model Deployment

API Development

Team Collaboration

Education

Bachelor’s degree

Tools

Docker

Kubernetes

Job description

Infosys is hiring a Technology Consultant 2 to join our US delivery team in Plano, TX. The role focuses on building AI-driven solutions for financial services, including design, development, deployment, and governance of ML models and AI agents.

You will work across the SDLC from requirements to implementation, collaborating with cross-functional teams to deliver scalable, robust AI-enabled applications. Eligible candidates should have strong Python skills, ML libraries experience, and cloud