Job Description
At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. Join us to help EY become even better and build an exceptional experience for yourself, and a better working world for all.
The Opportunity
We are the only professional services organization with a dedicated business focusing on the financial services marketplace. Join the Digital Engineering Team and work with multidisciplinary teams worldwide, aligned with key industry groups such as Asset Management, Banking and Capital Markets, Insurance, Private Equity, Health, Government, Power, and Utilities.
We offer:
- Integrated advisory, assurance, tax, and transaction services
- Diverse experiences, world-class learning, tailored coaching
- Opportunities to develop leadership and deliver stakeholder value
This is just the beginning; join us to create a lifetime of exceptional experience.
Role Overview
We are seeking a Cloud AI Architect to:
- Design, implement, and manage scalable AI solutions on cloud platforms.
- Collaborate with cross-functional teams to integrate AI/ML into business processes.
- Ensure optimal performance, scalability, and alignment with organizational goals.
About EY Digital Engineering
A unique, industry-focused business unit driving digital transformation:
- Analyzes, designs, mobilizes, and executes digital initiatives.
- Advises on strategies related to customer growth, profit optimization, innovation, and technology.
- Translates strategy into actionable technical designs.
- Supports clients in staying ahead of rapid change and disruption.
Key Responsibilities
- Cloud and AI Solution Design:
- Develop cloud-based AI architectures for scalability, security, and cost-efficiency.
- Integrate AI/ML frameworks with cloud platforms (AWS, Azure, GCP).
- Develop reusable AI models.
- AI/ML Deployment & Optimization:
- Deploy and monitor models.
- Optimize for real-time and batch processing.
- Ensure data privacy and security compliance.
- Cloud Infrastructure Management:
- Design reliable, high-performance cloud-native solutions.
- Use cloud services like AWS SageMaker, Azure AI, GCP AI Hub.
- Maintain CI/CD pipelines for models.
- Collaboration & Stakeholder Management:
- Work with data scientists, engineers, and business leaders.
- Translate business needs into technical solutions.
- Provide mentorship.
- Research & Innovation:
- Keep updated on AI/ML and cloud tech.
- Drive adoption of best practices.
- Lead experimentation.
Skills & Attributes
- Expertise in AWS, Azure, GCP.
- Proficient in TensorFlow, PyTorch, Scikit-learn.
- Understanding of Agentic frameworks, transformers, and encoder architectures.
- Experience developing AI solutions.
- Strong data engineering, ETL, big data tools.
- Containerization (Docker, Kubernetes).
- Knowledge of MLOps.
- Problem-solving, communication, teamwork.
Preferred Qualifications
- Cloud certifications (AWS Certified Solutions Architect, Azure AI Engineer).
- Experience in designing cloud AI solutions, machine learning, deep learning, distributed systems.
- Familiarity with Agile methodologies.
Education
- Bachelor’s or Master’s in Computer Science, Engineering, or related fields.
What We Offer
- Dynamic global delivery network in Argentina, China, India, the Philippines, Poland, UK.
- Diverse career opportunities across disciplines.
- Continuous learning, flexible tools, and success metrics.
- Leadership insights and inclusive culture.
About EY
EY aims to build a better working world by:
- Creating long-term value for clients, people, society.
- Providing trust through assurance.
- Helping clients grow and transform.
Job Highlights
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