AI Engineer

Overview:

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.

Roles and Responsibilities:

• Analyze user stories and use cases to ensure accurate understanding for production-ready delivery.
• Contribute to defining design specifications and technology frameworks and assist in creating reusable assets to enhance productivity and support complex technology projects.
• Deliver high-quality, optimized, and efficient code across applications and databases, debug complex routines, and build automation.
• Support the team in fostering a robust technical environment and ensuring error-free coding.
• Participate in knowledge transfer sessions and assist in using reverse engineering methodologies to support the transition process.
• Assist in deploying solutions for future projects by exploring new technologies through initial prototypes.
• Facilitate adoption of emerging technologies through proof-of-concept initiatives aligned to business needs.
• Support implementation of technical services to meet quality-of-service requirements.
• Contribute to developing reusable assets with a focus on productivity improvement and support resolution of critical production issues.
• Interface with customers during warranty support to ensure issues are fixed in a timely manner.
• Address technical issues during testing to ensure a reliable, production-ready codebase.
• Assist in mitigating risks by flagging them and supporting timely resolution in coordination with the team.
• Fix issues during testing phases to ensure error-free, clean releases.

Contribution to the Team:

A knack for designing and developing scalable, high-quality, and optimized solutions that meet complex business needs. The ability to evaluate and adopt emerging technologies, translating them into practical prototypes and deployment-ready strategies. The ability to build reusable frameworks, automation scripts, and knowledge assets that enhance team productivity. A strong problem-solving mindset to debug complex technical issues and deliver error-free and reliable outcomes. Commitment to quality, performance, and risk management, ensuring resilient and efficient project delivery. Proactive collaboration with internal teams and clients to drive knowledge sharing, continuous improvement, and innovation.

Required Skill and Experience:

• Experience in developing and applying generative AI models.
• Strong understanding of machine learning fundamentals, deep learning architectures, and natural language processing (NLP).
• Proficiency in programming languages such as Python and familiarity with deep learning frameworks such as TensorFlow or PyTorch.
• Design, develop, and deploy generative AI models for applications such as text generation, image creation, and code synthesis.
• Fine-tune pre-trained large language models for specific tasks and domains, ensuring optimal performance and alignment with business goals.
• Manage the entire AI development lifecycle, from data preprocessing 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 current with the latest advancements in generative AI research and contribute to the continuous improvement of AI capabilities.
• Champion responsible AI development practices, focusing on bias mitigation, fairness, and explainability.

Preferred Skill and Experience:

• Experience with cloud-based platforms such as OpenShift, AWS, GCP, and Azure.
• Experience with open-source tools and technologies.
• Consistent scores on coding sites such as HackerRank and CodeChef.
• Industry-acclaimed external certifications, if applicable.
• Active participation in technology forums.
• Contributions to the open-source community.
• Effective collaboration and communication skills.
• Excellent problem-solving skills and a strong analytical mind.
• Experience working in a collaborative and fast-paced environment.

Additional Required Qualifications:

• Bachelor’s degree or foreign equivalent required from an accredited institution. Three years of progressive experience in the specialty may be considered in lieu of each year of education.
• This position may require relocation and/or travel to the work or project location.
• All applicants authorized to work in the United States are encouraged to apply.

Benefits:

Along with competitive pay, full-time Infosys employees are eligible for the following 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 and contributions dependent on salary level.
• Paid holidays and paid time off.