Python AWS AI Architect

Infosys Limited; Raleigh (NC); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Long-term/Short-term Disability

Health and Dependent Care Reimburse./A

Insurance (Accident, Critical Illness,

401(k) plan

Job summary

InfosysLimited in the United States seeks an Architecture Consultant 2 to drive scalable, secure AI/ML architectures for financial services clients. You will lead discussions, define solution architectures, and guide integration and deployment across cloud-native environments.

You will evaluate technologies, mentor teams, and ensure alignment with business objectives while advancing AI, ML, and data-driven initiatives for banking, wealth management, and insurance domains.

Qualifications

• Bachelor’s degree or foreign equivalent required.
• Experience in Python and ML libraries.
• Experience with AWS services, SageMaker, and ML Ops practices.
• Experience with designing and deploying AI/LLM solutions.

Responsibilities

• Participate in customer discussions to gather and analyze system requirements for performance, security and scalability.
• Provide architectural guidance, contribute to tech framework development, support enterprise architecture definition, and drive design creation.
• Identify suitable technologies and tools, perform market comparisons, and propose optimal architectural options.
• Develop integration strategies based on proof-of-concept validations of proposed architectures.
• Facilitate knowledge transfer and ensure quality standards while supporting deployment automation.
• Collaborate with development teams to resolve complex technical issues across build, deployment, and support phases.
• Analyze system performance based on architecture and identify potential risks in the landscape.
• Create artifacts of architectural frameworks and technical solutions for the team’s knowledge base.

Skills

Python

ML libraries

AWS Bedrock

AWS S3

LLMs

Prompt engineering

Model deployment

Generative AI

ML engineering

Education

Bachelor’s degree

Tools

Docker

Kubernetes

Job description

State / Region / Province

Arizona, Connecticut, North Carolina, Texas

Country

USA

Domain

Delivery

Interest Group

Company

ITL USA

Requisition ID

153833BR

Technical Skills 1

Technical Skills 2

Technology|Cloud Platform|Amazon Webservices Managed Services

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 Architecture Consultant 2, your Area Of Responsibility will be as below:

• Participate in customer discussions to gather and analyze system requirements for performance, security and scalability.
• Provide suggestions on solution architecture, contribute to tech framework development, support enterprise architecture definition, and drive design creation
• Identify suitable technologies and tools available in the market, and perform a comparative analysis in line with client's business requirement, thereby identifying optimal architectural solution options
• Participate in developing integration strategies based on validation of proof of concept of proposed architectural solutions
• Facilitate a smooth transition by ensuring knowledge transfer and adherence to quality standards, while contributing to the build and deployment automation strategy
• Collaborate with development teams to resolve complex technical issues using solution deployment and roll out methods, during build, deployment and support phases
• Analyze system performance basis architectural solutions implemented and support in identifying potential risks in the system landscape
• Create artifacts of architectural frameworks and technical solutions, thereby enriching team's knowledge repository

Your contribution to the team:

• The ability to analyse, design, and develop scalable and secure architectures.
• A knack for assessing multiple technologies, tools and frameworks to recommend optimal solutions.
• Understanding of integration methodologies, proof-of-concept validation and deployment strategies.
• The ability to document architectural frameworks and solutions.
• Proactive communication with internal teams and clients, ensuring alignment with business objectives.
• A knack to keep with up technical advancements to ensure relevant and effective recommendations.
• The ability to maintain standards and ensure smooth transition through knowledge transfer

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.
• 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 now or in the future.

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.