Data Engineer with Advance AI (Gen AI + Agentic AI)

Infosys is seeking a Data Engineer with Advanced AI knowledge. In this role you will interface with key stakeholders and apply your technical proficiency across different stages of the Software Development Life Cycle including Requirements Elicitation, Application Architecture definition and Design. You will play an important role in creating the high-level design artifacts. You will also deliver high quality code deliverables for a module, lead validation for all types of testing and support activities related to implementation, transition and warranty. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.

Required Qualifications:

• Candidate must be located within commuting distance of Madison, WIor be willing to relocate to the area. This position may require travel in the US.
  
• 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.
• At least 4 years of experience with Information Technology.
  
• At least 2 years of experience with GCP, Big Data, Spark, Pyspark, Python and SQL on AWS.
  
• Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time
  

• At least 4 years of experience in technology development, build solutions and driving an independent project.
  
• At least 2 Years experience in GCP, Python with Advanced AI
  
• Hands-on technologist with ability to readily learn and adapt to new technologies as well as drive the technology implementation of proposed solutions.
  
• Hands on experience on Snowflake and ETL tools.
  
• Strong ability to plan and lead Joint Application Design sessions and collaborate with both technical subject matter experts as well as business analysts and stakeholders.
  
• Experience in test driven development and DevOps/CICD software engineering practices.
  
• Experience working in an Agile (e.g. Scrum, SAFE frameworks etc) SDLC model.
  
• Experience and desire to work in a Global delivery environment