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Gen AI - AI Architect

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Onsite

Gen AI - AI Architect

EY

Gen AI - AI Architect

Skills

Google Cloud PlatformDeep LearningMachine LearningAINLP / Natural Language ProcessingTalent ManagementAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Kochi, Kerala, India

Work mode:

Onsite

Published on:

8 September 2026

What they need


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

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