Job Description
Infosys seeks an AI Engineer onsite in Phoenix, AZ to analyze user stories, define design specifications, deliver production-ready code, and build reusable assets. The role encompasses prototyping new technologies, enabling knowledge transfer, and ensuring quality and reliability across projects.
Responsibilities
- Analyze user stories and use cases to establish a precise, production-ready understanding of requirements.
- Contribute to defining design specifications and technology frameworks, and assist in creating reusable assets to boost productivity and support complex technology initiatives.
- Deliver high-quality, efficient code across applications and databases; participate in debugging complex routines and developing automation.
- Foster a robust technical environment in support of a culture of error-free coding.
- Participate in knowledge-transfer sessions and aid in applying reverse engineering methodologies to support transition processes.
- Assist in deploying solutions for upcoming projects by developing initial prototypes to explore new technologies.
- Facilitate adoption of emerging technologies via proof-of-concept initiatives aligned with business objectives.
- Support the implementation of technical services to meet QoS requirements.
- Contribute to developing reusable assets aimed at productivity improvement and resolving critical production issues.
- Interface with customers during warranty support to ensure timely issue resolution.
- Address technical issues identified during testing to maintain a reliable, production-ready codebase.
- Assist in risk mitigation by flagging risks and supporting timely resolution in coordination with the team.
- Resolve issues identified during testing to deliver error-free releases.
Your Contribution to the Team
- Proficiency in designing and developing scalable, high-quality, optimized solutions that meet complex business needs.
- Ability to evaluate and adopt emerging technologies, translating them into practical prototypes and deployment-ready strategies.
- Ability to build reusable frameworks, automation scripts, and knowledge assets that enhance team productivity.
- Strong problem-solving mindset to debug complex technical issues and deliver reliable outcomes.
