AI Developer
Posted 7 Oct 2026
Advertised as “EY - GDS Consulting - AIA - Gen AI - Senior”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 5–8 yrs
- Management level
- People management
No salary listed for this role.
Study levelBachelor's or higher
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.
Title: Senior AI Developer (GenAI)
Educational qualification: BTech/Masters/PhD
The opportunity
We are seeking an experienced Senior AI Developer with 5-8 years of professional experience. He needs to be passionate about D&A and technology. With a deep understanding of data processing, data structure, algorithms, and machine learning. AI Architect will develop and implement the company's AI capabilities and solutions.
Your key responsibilities
- Design and implement AI/Gen AI applications, systems, and infrastructure across major clouds (Azure, AWS and GCP)
- Collaborate with data engineers & build AI/ML models.
- Collaborate with clients & stakeholders to translate business and functional requirements into robust, scalable, operable solutions.
- Participate in architectural decisions, contribute to the development of architectures for industry-wide use cases, and design architectures for AI/ML and Generative AI
- Set the standards for engineering best practices.
- Identify opportunities where generative AI can provide value and solve business problems.
- Responsible for creating POCs and POVs across horizontals and industry use cases.
- Write high-quality, efficient, testable code in Python and other languages.
- Stay up to date with the latest AI trends and evaluate state-of-the-art AI technologies/framework to drive innovation.
- Facilitate design and architecture workshops and mentor AI engineers in coding best practices and problem-solving.
Skills and Attributes
Professional Experience
- A minimum of 5-8 years in building and deploying AI and Gen AI solutions on-premises or on cloud platforms.
Preferred / Good‑to‑Have Skills
- Hand-on experience in deploying AI/ML solutions on different cloud platforms like Azure, AWS and/or Google Cloud.
- Experience in using and orchestration LLM models on cloud platforms i.e., OpenAI @ Azure/AWS Bedrock/ GCP Vertex AI or Gemini AI
- Experience in Agentic frameworks building and deploying (e.g. Semantic Kernel, CrewAI, LangGraph etc.)