Python AWS AI Engineer

Infosys Limited; Raleigh (NC); On-site; USD 110,000 - 190,000; Full time

Benefits offered by this job

Health benefits

401(k) plan

Disability insurance

Life insurance

Job summary

Infosys is seeking a Technology Consultant 2 to advance AI/ML workloads within the Financial Services unit, driving projects across banking, wealth management, and insurance. You will document requirements, guide design discussions, implement features, and ensure software quality in a global delivery environment with strong Python and AWS experience.

You will participate in end-to-end SDLC, develop training and documentation, and support production issue resolution while maintaining high

Qualifications

• Experience in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
• Design, develop, and fine‑tune ML models, particularly those involving LLMs and generative AI.
• Experience with AWS services, especially Bedrock, S3, EC2, and Lambda; familiarity with ML Ops practices and tools for model deployment and monitoring.
• Experience with AWS SageMaker for model development and model deployment.

Responsibilities

• Contribute to requirements elicitation and document assigned parts of business requirements.
• Facilitate software application design discussions and document design decisions for the technical team.
• Participate in coding and integrate new features or updates while maintaining system stability.
• Conduct code reviews, changes to the codebase, and maintain repositories.
• Implement test strategies, analyze results, and coordinate bug fixes to uphold quality.
• Develop user training programs, documentation, and support frameworks for transition to new software.
• Resolve production issues and recommend preventive strategies to enhance reliability.
• Maintain detailed records of code, testing techniques, and support activities to enrich knowledge base.

Skills

Python

ML libraries

LLMs & Generative AI

Prompt engineering

AWS services

SageMaker

ML Ops

ML modeling methodologies

AI Agents development

API development

Education

Bachelor’s degree

Tools

Docker

API tooling

Job description

State / Region / Province

Connecticut, North Carolina, Texas

Country

USA

Domain

Delivery

Interest Group

Company

ITL USA

Requisition ID

153694BR

Technical Skills 1

Technical Skills 2

Technology|Cloud Platform|Amazon Webservices Managed Services

Technical Skills 3

Overview

The Infosys Financial Services unit is a global leader in driving digital transformation for financial institutions. We specialize in leveraging advanced technologies such as AI, cloud, and data-led innovation to help our clients accelerate growth and unlock business value. Our AI-driven solutions empower financial institutions to make smarter decisions, enhance customer experiences, and achieve operational excellence. Join us to be part of a pioneering team that is at the forefront of financial services transformation. You'll have the opportunity to work with cutting-edge AI technologies, collaborate with industry experts, and contribute to transformative projects across banking, wealth management, and insurance sectors. If you're passionate about AI and eager to make a significant impact, the Infosys Financial Services unit is the perfect place for you to grow and excel.

In the assigned Job Role of Technology Consultant 2, your Area Of Responsibility will be as below:

• Contribute to the requirements elicitation process by documenting assigned parts of business requirements, in line with guidance provided
• Facilitate software application design discussions, and document design decisions to guide the technical team towards building software solutions
• Participate in coding and integrate new features or updates into existing applications, with a focus on maintaining system stability
• Conduct code reviews, do changes to the codebase and maintain code repositories
• Implement test strategies, analyse results, and coordinate bug fixes to uphold the software quality standards
• Develop user training programs, documentation, and support frameworks to ensure a smooth transition to new software applications
• Actively participate in resolving production issues and recommend preventive strategies to enhance system reliability
• Maintain detailed records of code, testing techniques, and support activities to enrich the knowledge base and assist other similar projects

Your contribution to the team:

• A collaborative spirit and excellent communication skills.
• The ability to handle end to end SDLC phases from requirement gathering to implementation.
• A knack for translating complex requirements into actionable development tasks.
• A passion for design and hands‑on coding experience
• A proactive approach to testing, troubleshooting, and refining our applications.
• The ability to work with cross-functional teams and do software integration.

Required Skill and Experience

• Experience in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience in Design, develop, and fine‑tune machine learning models, particularly those involving LLMs and generative AI.
• Experience with AWS services, especially Bedrock, S3, EC2, and Lambda Familiarity with ML Ops practices and tools for model deployment and monitoring.
• Experience with AWS SageMaker for model development and model deployment.
• Experience with developing and deploying AI Agents for business problems.
• Experience in optimizing and adapt prompt engineering strategies to improve model performance and relevance.
• Experience with LLMs (e.g., OpenAI, Anthropic, Cohere) and prompt engineering.
• Experience in understanding quantitative/
  statistical/ML/AI modeling methodologies.
• Experience in ML engineering, including hands‑on experience with Generative AI/LLMs.

Preferred Skill and Experience

• Experience in building and maintaining scalable data pipelines and APIs to support ML workflows.
• Knowledge of data privacy and security best practices in cloud environments.
• Familiarity with containerization (Docker) and container orchestration is a plus.

Additional Required Qualifications

• 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.
• This position may require relocation and/or travel to work/project location.
• All applicants authorized to work in the United States are encouraged to apply.

Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits:

• Long-term/Short-term Disability
• Health and Dependent Care Reimbursement Accounts
• Insurance (Accident, Critical Illness , Hospital Indemnity, Legal)
• 401(k) plan and contributions dependent on salary level

About Us

Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

EEO

Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.