AI Architect

About the role

The Strategic Technology Group (STG) at Infosys is a unit for senior technologists who tackle complex, large-scale technology challenges. As a Senior Technologist, you will design frameworks, deliver production-ready code, and provide technical leadership across software design, cloud-native architectures, enterprise platforms, data engineering, and emerging technologies including generative AI and agentic AI. You will shape technology direction, solve business challenges, mentor teams, and drive resilient, high-quality outcomes while engaging closely with stakeholders.

Responsibilities

• Evaluate project requirements and use cases to deliver high-quality design, frameworks, and production-ready code.
• Design technology frameworks for complex scenarios, develop design patterns, and create reference implementations.
• Design reusable assets and conduct design reviews.
• Deliver high-quality code across applications, databases, and integrations; optimize code, debug complex routines, and develop code generators and pilot implementations for reusable components.
• Work closely with other teams to ensure alignment on project goals and technology implementations.
• Provide technical guidance to peers and help maintain delivery consistency and code quality.
• Identify and independently develop proof of concepts (PoCs) for emerging programming and complex modules.
• Provide inputs for multi-technology and multi-language high-risk deployments.
• Evaluate and implement technical services to meet high-quality service (QoS) requirements aligned with business and IT KPIs.
• Create reusable assets and deliver defect-free, impactful code to achieve quality benchmarks and Zero-Defect Delivery.
• Support complex projects by resolving technical challenges and reducing risk exposure.
• Stay updated on emerging technologies and industry trends to inform decision-making and enhance project outcomes.
• Support test automation and execute test strategies to drive quality improvements.

Your contribution to the team

• Apply expertise in designing scalable architectures and frameworks for complex technology challenges.
• Bring a strategic mindset to building reusable components and ensuring high-quality, defect-free delivery.
• Share knowledge and mentor peers, fostering technical excellence across projects.
• Assess and adopt emerging technologies, translate them into PoCs and deployment-ready solutions.
• Drive performance improvements through advanced engineering practices and demanding service benchmarks.
• Anticipate risks and resolve technical challenges to ensure resilience and long-term project success.

Required skills and experience

• Core development & architecture: Analysis and design skills with experience in core development, design, and architecture; implement design patterns and architecture patterns.
• Generative AI: Experience developing and applying generative AI models; understanding of machine learning fundamentals, deep learning architectures, and natural language processing (NLP).
• Programming & frameworks: Proficiency in Python and familiarity with deep learning frameworks such as TensorFlow or PyTorch.
• AI model development: Design, develop, and deploy generative AI models for text generation, image creation, and code synthesis; fine-tune pre-trained LLMs for specific tasks and domains.
• AI lifecycle management: Manage the entire AI development lifecycle from data pre-processing and model training to evaluation, optimization, and deployment.
• Collaboration: Work with data scientists, software engineers, and product managers to define requirements, ensure technical feasibility, and integrate AI solutions.
• Responsible AI: Champion responsible AI development with a focus on bias mitigation, fairness, and explainability.
• Open-source: Experience with open-source frameworks and tools; ability to write high-quality, performant code; evaluate and review code performance; conduct code reviews.
• Agile delivery: Experience in fast-paced, agile environments; perform PoCs for new technologies.
• Effective collaboration and communication skills.

Preferred skills and experience

• Master’s degree in computer science, Artificial Intelligence, or a related field (or equivalent experience).
• Experience with cloud-based platforms such as OpenShift, AWS, GCP, or Azure.
• Experience fine-tuning open-source AI models.
• Strong understanding of one or more domain expertise areas and associated industry standards.
• Industry-acclaimed external certifications, if applicable.
• Active participation in technology forums and contributions to the open-source community.

Additional required qualifications

• Bachelor’s degree or foreign equivalent required from an accredited institution; or three years of progressive experience in the specialty in lieu of each 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.

Benefits

• Medical, Dental, Vision, and Life Insurance
• Long-term and Short-term Disability
• Health and Dependent Care Reimbursement Accounts
• Accident, Critical Illness, Hospital Indemnity, and Legal Insurance
• 401(k) plan with contributions dependent on salary level
• Paid holidays plus Paid Time Off