AI Engineer

Infosys onsite AI Engineer role in Phoenix, AZ offers the chance to work on production‑level AI initiatives, analyze user stories, define design specifications, deliver production‑ready code, and build reusable assets. You’ll prototype new technologies, support knowledge transfer, and ensure quality and reliability across projects—all while collaborating closely with the team in a dynamic on‑site environment.

Responsibilities

• Analyze user stories and use cases to ensure a clear, production‑ready understanding for delivery.
• Help define design specifications and technology frameworks; assist in creating reusable assets to boost productivity on complex projects.
• Deliver high quality, optimized code across applications and databases; participate in debugging and build automation to streamline workflows.
• Support the team in maintaining a robust technical environment and ensuring clean, error‑free coding practices.
• Participate in knowledge transfer sessions and apply reverse engineering techniques to support transition processes.
• Assist in deploying solutions for future projects by developing initial prototypes and exploring new technologies.
• Facilitate adoption of emerging technologies through proof‑of‑concept initiatives aligned to business needs.
• Support the implementation of technical services to meet quality of service requirements.
• Contribute to developing reusable assets with a focus on productivity improvement and resolving critical production issues.
• Interface with customers during warranty support to ensure timely issue resolution.
• Address technical issues encountered during testing to maintain a reliable, production‑ready codebase.
• Assist in mitigating risks by flagging them and coordinating with the team to drive timely resolutions.
• Fix issues identified during testing phases to ensure clean, error‑free releases.

Your contribution to the team

• A knack for designing and developing scalable, high‑quality, optimized solutions that meet complex business needs. The ability to evaluate and adopt emerging technologies, translating them into practical prototypes and deployment‑ready strategies. The 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 error‑free and reliable outcomes. Commitment to quality.