Overview
Skills
Job Details
Job Role: AI Technology Architect
Job location: Richardson, TX
Job Type: Full Time
Job Description:
Client is seeking an AI Technology Architect. In this role, you will enable digital transformation for our clients in a global delivery model, research on technologies independently, recommend appropriate solutions and contribute to technology-specific best practices and standards. You will provide inputs for identifying best-fit architectural solutions for one or more projects; develop design of applications, provide regular support and guidance to project teams on complex coding and issue resolution with the objective of ensuring best-fit and high-quality technical solutions within the area of technology specialization and in compliance with guidelines, policies and norms of Infosys. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.
Required Qualifications:
- 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.
- Candidate must be located within commuting distance of Richardson, TX or be willing to relocate to the area.
- At least 11 years of experience in Information Technology
- At least 6 years of experience in AI, data engineering, creating data pipelines and processing huge volume of data.
- At least 5 years of experience in Machine learning engineering /MLE , data science and data engineering, with a proven track record of delivering impactful solutions
- Architectural Optimization - Experience in optimization of solution architectures with a focus on data security, privacy, application reliability, infrastructure scalability, and cost-efficiency for Data Science and Generative AI platforms.
- Scalable AI Solution Deployment - Experience in designing and implementing scalable AI and Data Science solutions capable of handling large-scale, distributed data and compute workloads across hybrid and cloud-native environments(OCI).
- Performance Tuning for AI/ML and GenAI Workloads - Experience in hyperparameter tuning and performance optimization for AI/ML and Generative AI models to maximize accuracy, efficiency, and resource utilization.
- AI Full stack: Experience in in any full stack /development experience in pyhon or Java, or .Net or React, Node.js, Flask/Django, REST APIs.
- Proficiency in Python, SQL, and machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch.