EY - GDS Consulting - AIA - AI Engineer - Senior
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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and implement scalable AI/GenAI, RAG-based, conversational AI, and AI agent solutions aligned to business needs.
Collaborate with architects, managers, engineers, data scientists, and stakeholders to deliver, test, deploy, and support AI solution components following quality, security, and Responsible AI guidelines.
Support AI lifecycle activities including validation, monitoring, performance tuning, and continuous improvement across enterprise AI platforms such as Azure AI Foundry, Azure OpenAI, and Databricks.
Minimum Requirements
4–8 years of professional experience with hands-on exposure to AI/ML, Generative AI, RAG architectures, conversational AI, or enterprise AI solution delivery.
Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Information Technology, or related field.
Practical experience with AI-powered solutions including LLM application development, prompt engineering, vector databases, AI evaluation, deployment, or MLOps in enterprise environments.
Location: Chennai or anywhere in India; Salary: Competitive; Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in designing and building enterprise-grade AI solutions including RAG pipelines, copilots, and conversational AI platforms with demonstrable implementation knowledge.
Ability to work cross-functionally with architects, engineers, data scientists, and business teams to translate business requirements into technical AI solution components.
Familiarity with enterprise AI ecosystems such as Azure AI Foundry, Azure OpenAI, Databricks, and strong adherence to Responsible AI, data privacy, security, and compliance best practices.