Ai Architect

Infosys is hiring for AI Full Stack Hands-on Architect who must be Polyglots with expertise in multiple technologies and can work as a full-stack developer & architect in complex engineering projects. The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email, or face to face. Extensive travel may be required as per client and project needs.
“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.”
Applications will stay open until a suitable candidate is employed. Infosys provides equal opportunities and benefits to all regardless of sex, race, gender, ability/disability, sexual orientation, religion, pregnancy or childbirth.
Estimated annual compensation range for the candidates will be: CAD 112,000 to CAD 156,800. Applicants must possess the following qualifications to be eligible:
Bachelor’s degree or foreign equivalent required from an accredited institution. We will also consider three years of progressive experience in the specialty in lieu of every year of education.
Candidate must be located within commuting distance of Mississauga, ON or Calgary, Alberta or be willing to relocate.
Candidates authorized to work for any employer in Canada without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time.
Minimum 7 years of core development & architecture experience.
Strong Analysis and Design skills with deep expertise in core development, design & architect experience, implement design patterns, architecture patterns
2-3 years of 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 like Python and familiarity with deep learning frameworks like TensorFlow or PyTorch.
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.
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.
Infosys empowers businesses with agile digital at scale to deliver unprecedented levels of performance and customer delight. To achieve this, they prefer their ideal candidate to have the following qualifications in addition to the previous ones:
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.
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