EYGen AI - AI Architect
About this role
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. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
Job Title: Generative AI Architect
Summary:
We are looking for a Generative AI Architect to join our team and help us to design, build, and deploy state-of-the-art generative AI solutions. As a Senior Generative AI Architect, you will be responsible for leading and mentoring a team of engineers in the development of innovative generative AI solutions to real-world problems. You will also work closely with product managers and business stakeholders to understand their needs and develop solutions that meet those needs.
Responsibilities:
- Design and develop the architecture for our Generative AI systems.
- Work with other team members to implement and deploy Generative AI systems into production.
- Monitor and manage Generative AI systems in production to ensure that they are meeting performance and reliability requirements.
- Develop and implement best practices for building, deploying, and managing generative AI systems.
- Stay up-to-date on the latest research and developments in generative AI and apply new knowledge to our work.
- Collaborate with other engineers, scientists, and product managers to develop and deliver innovative generative AI solutions.
- Mentor and guide junior engineers
Qualifications:
- Master's degree in Computer Science, Artificial Intelligence, or a related field.
- 5+ years of experience in Machine Learning and generative AI.
- 10+ years of experience in software development
Preferred Skills and Experience:
- Strong experience in designing, building, and deploying in production grade scalable Machine Learning models in cloud platforms such as Azure or GCP
- Strong experience with a variety of Generative AI models and techniques – RAG, Agentic AI, MCP
- Experience with Prompt Engineering and Machine Learning optimization
- Experience with deep learning models such as GANs, diffusion models, and transformers.
- Experience with Computer Vision and Natural Language Processing.
- Experience with Reinforcement Learning.
- Experience with distributed computing and scalable systems.
- Experience with DevOps and CI/CD.
- Experience with Machine Learning ethics
- Experience with Generative AI applications in specific domains such as talent management, finance, or manufacturing
- Excellent communication and interpersonal skills.
EY | Building a better working world
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.
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
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