Python AWS AI Architect

Infosys

Plano (TX)

On-site

USD 130,000 - 190,000

Full time

14 days+

Get more replies from employers

Send a job-specific resume in minutes.

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Long-term/Short-term Disability

401(k) plan and contributions

Paid holidays plus Paid Time Off

Health and Dependent Care Reimbursem.

Insurance (Accident, Critical Illness,

HSA/Wellness programs

Job summary

Infosys in Plano, TX is seeking an Architecture Consultant 2 to lead the design of scalable, secure architectures for digital transformation in financial services. You will work with Python, ML libraries, and AWS to shape AI-driven solutions across banking, wealth, and insurance sectors.

The role emphasizes PoC validation, integration strategy, and knowledge transfer, with heavy collaboration to ensure robust deployment and ongoing optimization.

Qualifications

Bachelor’s degree or foreign equivalent required; three years of progressive experience can substitute.
Relocation and/or travel to work/project location may be required.
All applicants authorized to work in the United States are encouraged to apply.
Experience with AWS services (Bedrock, S3, EC2, Lambda) and ML Ops practices.

Responsibilities

Participate in customer discussions to analyze system requirements for performance and security.
Provide suggestions on solution architecture and drive design creation.
Identify suitable technologies and perform market analysis for optimal solutions.
Develop integration strategies based on proof-of-concept validations.
Facilitate knowledge transfer and support build/deploy automation.
Collaborate with development teams to resolve complex issues during build/deploy.
Analyze performance and identify risks in the system landscape.
Create artifacts of architectural frameworks and solutions.

Skills

Python

ML libraries

TensorFlow

PyTorch

scikit-learn

AWS

SageMaker

LLMs

Prompt engineering

Generative AI

Education

Bachelor’s degree

Tools

Docker

APIs

Job description

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.

Overview

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.
All applicants authorized to work in the United States are encouraged to apply.

Benefits

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

Medical/Dental/Vision/Life Insurance
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
Paid holidays plus Paid Time Off

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.

Get your free, confidential resume review.

or drag and drop your file here.