EY DE-Cloud AI Architect-F02 

India, Karnataka, Bengaluru 

844135415

Your key responsibilities

• Cloud and AI Solution Design
  • Design and develop cloud-based AI architectures, ensuring scalability, security, and cost-efficiency.
  • Integrate AI/ML frameworks with existing cloud platforms (e.g., AWS, Azure, GCP).
  • Develop and maintain reusable AI models and components for various business use cases.
• AI/ML Deployment and Optimization
  • Implement, deploy, and monitor machine learning models on cloud infrastructure.
  • Optimize AI pipelines for real-time processing and batch operations.
  • Ensure compliance with data privacy and security regulations.
• Cloud Infrastructure Management
  • Design cloud-native solutions with a focus on reliability, performance, and high availability.
  • Leverage cloud services (e.g., AWS SageMaker, Azure AI, GCP AI Hub) to implement AI workloads.
  • Establish and maintain CI/CD pipelines for ML models.
• Collaboration and Stakeholder Management
  • Collaborate with data scientists, engineers, and business leaders to identify AI-driven opportunities.
  • Translate business needs into technical AI solutions.
  • Provide technical leadership and mentorship to the engineering team.
• Research and Innovation
  • Stay updated on the latest advancements in AI/ML and cloud technologies.
  • Experiment with emerging AI tools and frameworks to drive innovation.
  • Lead the adoption of best practices for AI model lifecycle management.

Skills and attributes for success

• Hands on expertise in cloud platforms: AWS, Azure, GCP.
• Hands on proficiency in AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Sound understanding on the Agentic frameworks
• Deep understanding on the transformers and encoder architectures
• Must have developed AI solutions
• Strong understanding of data engineering, ETL pipelines, and big data tools (e.g., Apache Spark, Hadoop).
• Hands-on experience with containerization and orchestration tools (Docker, Kubernetes).
• Knowledge of DevOps practices for AI/ML (MLOps).

• Strong problem-solving and analytical skills.
• Excellent communication and stakeholder management abilities.
• Ability to work in a fast-paced, collaborative environment.

Preferred Qualifications:

• Certifications in cloud platforms (e.g., AWS Certified Solutions Architect, Azure AI Engineer) are a plus.
• Experience:

• Proven experience designing and implementing cloud-based AI solutions.
• Strong background in machine learning, deep learning, and data modelling.
• Experience in distributed systems and microservices architecture.

• Agile Methodologies : Familiarity with Agile development practices and methodologies.

Education:

• Bachelor’s or master’s degree in computer science, Engineering, or a related field.

What we offer

EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career.

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you : We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership : We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.