AI Architect

Infosys•Raleigh, NC

About The Position

The Strategic Technology Group (STG) unit at Infosys is designed for power programmers and senior technologists who want to go beyond traditional development roles and take on complex, large-scale technology challenges.The STG unit brings together Specialist Programmers, Senior Technologists, and Technical Leaders who possess deep expertise across software design and development, cloud-native architectures, enterprise platforms, data engineering, and emerging technologies, including generative AI and agentic AI.Members of the STG unit play a strategic role in shaping technology direction, solving complex business challenges, and delivering resilient, high-quality outcomes. They are expected to demonstrate strong technical depth, sound architectural judgment, and hands-on leadership, while mentoring teams and influencing best practices across programs.The STG unit emphasizes software development excellence, innovation, and continuous upskilling. It offers experienced talent the opportunity to work on transformational initiatives, engage closely with stakeholders, and grow as trusted technology leaders within Infosys’ global delivery ecosystem.

Requirements

Core development & architecture experience
Analysis and Design skills with experience in core development, design & architect experience, implement design patterns, architecture patterns
Experience in developing and applying generative AI models.
Understanding of machine learning fundamentals, deep learning architectures, and natural language processing (NLP)
Experience in programming languages like Python and familiarity with deep learning frameworks like TensorFlow or PyTorch.
Experience in Open-Source frameworks and tools
Ability to write good quality and highly performant code
Evaluate and review performance aspects of new and existing code.
Perform code reviews to ensure that quality is being maintained.
Perform POCs for any new technologies that we may leverage.
Experience in working in a fast-paced and agile environment
Effective collaboration and communication skills
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

Master’s degree in computer science, Artificial Intelligence, or a related field (or equivalent experience).
Experience in cloud-based platforms like OpenShift, AWS, GCP, Azure
Experience in Fine tuning Open-Source AI Models
Strong understanding of one or more Domain expertise and associated Industry standards
Industry-acclaimed External Certifications, if applicable
Active participation in Technology forums
Contribution to Open-Source Community

Responsibilities

Create business requirement documents covering functional and non-functional requirements, basis information gathered as part of workshops and interviews with client stakeholders
Review, propose, and develop solution architecture, ensuring application design aligns with the proposed framework and which are scalable, reliable and maintainable
Assess and recommend suitable technologies, tools and platforms for implementation as a part of architectural design, to meet business requirements
Review technical solutions and develop strategies for integration with different technologies and systems, to ensure seamless communication and data flow
Resolve complex technical challenges during build, deployment, and support phases while promoting reusable frameworks and artifacts
Provide specialized insights to development team and build collaborative relationships with clients and internal teams, securing successful execution of projects
Identify potential risks in the system landscape, monitor system performance and suggest optimization initiatives in line with business requirements and long-term objectives
Establish and uphold comprehensive knowledge base to guarantee that vital information is systematically recorded and readily available
Contribute to proposals and RFPs by delivering insights related to architectural solutions, for successfully delivering the proposed solutions
Design, develop, and deploy generative AI models for various applications, such as text generation, image creation, and code synthesis (depending on the specific focus of the company).
Fine-tune pre-trained LLMs for specific tasks and domains, ensuring optimal performance and alignment with business goals.
Manage the entire AI development lifecycle, from data pre-processing and model training to evaluation, optimization, and deployment.
Collaborate with data scientists, software engineers, and product managers to define project requirements, ensure technical feasibility, and integrate AI solutions seamlessly.
Stay up to date on the latest advancements in generative AI research and actively contribute to the continuous improvement of our AI capabilities.
Champion responsible AI development practices, focusing on bias mitigation, fairness, and explainability