AWS & AI Engineer: Java, Python, ML for FinTech

Infosys Limited; Hartford (CT); On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

Long-term/Short-term Disability

Health and Dependent Care Reimburse

Insurance (Accident, Critical Illness,

401(k) plan

Job summary

Infosys is seeking a Technology Consultant 2 to contribute to AI-driven digital transformation in financial services. You will document business requirements, guide design discussions, and code updates across banking, wealth management, and insurance sectors.

Expect collaboration with cross-functional teams and focus on scalable software solutions. The role emphasizes end-to-end SDLC participation, system reliability, and knowledge sharing, with opportunities to work on cutting-edge AI

Qualifications

• Bachelor’s degree or foreign equivalent required; will also consider three years of progressive experience in lieu of every year of education.
• Relocation and/or travel to work/project location may be required.
• US work authorization encouraged for applicants.

Responsibilities

• Contribute to requirements elicitation by documenting assigned parts of business requirements per guidance.
• Facilitate software design discussions and document design decisions for the technical team.
• Participate in coding and integrate features into existing applications while maintaining stability.
• Conduct code reviews and manage code changes in repositories.
• Implement test strategies, analyze results, and coordinate bug fixes to ensure quality.

Skills

Java development

AWS Services

AL/ML Architecture

LLMs and Prompting

Python ML libraries

Education

Bachelor’s degree or foreign equivalent

Job description

Infosys is seeking a Technology Consultant 2 to contribute to AI-driven digital transformation in financial services. You will document business requirements, guide design discussions, and code updates across banking, wealth management, and insurance sectors.

Expect collaboration with cross-functional teams and focus on scalable software solutions. The role emphasizes end-to-end SDLC participation, system reliability, and knowledge sharing, with opportunities to work on cutting-edge AI