Python AWS AI Architect

Infosys•Raleigh, NC

11d

About The Position

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. 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.

Requirements

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.
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.

Nice To Haves

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.

Responsibilities

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.