EY
EY

EY is a global professional services firm offering audit, tax, consulting, and advisory expertise. Its teams help organizations address complex business challenges, strengthen trust in financial reporting and markets, and use data and technology to support transformation.

The firm provides services including corporate finance advisory, transaction strategy, and technology consulting. EY works with clients across areas such as healthcare, legal services, marketing, energy, finance, and government, with sustainability and innovation informing many of its solutions.

Senior AI Engineer, Chennai (Onsite) - EY

Build secure, scalable GenAI, RAG, conversational AI, and agent solutions for EY consulting clients. Contribute across architecture, delivery, evaluation, governance, and continuous improvement for global engagements.

Description

  • Design, develop, test, deploy, and support scalable AI, GenAI, RAG, conversational AI, and agent solutions
  • Translate solution designs into scalable technical components and reusable implementation patterns
  • Build and maintain RAG pipelines, prompt workflows, knowledge retrieval systems, integrations, APIs, and automation components
  • Partner with architects, managers, engineers, data scientists, data engineers, application developers, business teams, and other stakeholders
  • Contribute to requirements analysis, design, development, testing, deployment, monitoring, and ongoing improvement
  • Apply AI evaluation, validation, guardrails, quality controls, and performance optimization
  • Adhere to Responsible AI, data privacy, security, compliance, and risk management practices
  • Produce technical documentation, implementation notes, test results, solution walkthroughs, demonstrations, estimates, and status updates
  • Create reusable components, accelerators, templates, and solution documentation
  • Mentor junior team members and support AI capability development

Requirements

  • The role overview specifies a BTech, master’s degree, or PhD
  • Bachelor’s or master’s degree in Computer Science, Data Science, Engineering, Information Technology, or a related discipline
  • 4–8 years of professional experience, including hands-on work with AI/ML, Generative AI, data engineering, cloud AI platforms, or enterprise application development
  • Hands-on experience contributing to AI solutions in enterprise, pre-production, or production settings
  • Practical experience with AI, GenAI, Copilot, Conversational AI, Agentic AI, or RAG solutions in enterprise or client-facing environments
  • Working knowledge of LLM application development, RAG pipelines, prompt engineering, vector databases, AI evaluation, APIs, cloud deployment, MLOps, or LLMOps
  • Strong knowledge of Large Language Models, Generative AI, RAG architectures, prompt engineering, conversational AI, and AI agents
  • Experience with Azure AI Foundry, Azure OpenAI, Databricks, vector databases, enterprise search, orchestration frameworks, and APIs
  • Ability to build or support retrieval pipelines, embeddings, prompt workflows, data ingestion, model integration, and application integration
  • Understanding of AI evaluation, guardrails, hallucination detection, quality metrics, observability, security, privacy, and Responsible AI practices
  • Working knowledge of software engineering, cloud deployment, APIs, databases, version control, CI/CD, MLOps, or LLMOps
  • Strong analytical, problem-solving, collaboration, and communication abilities

Benefits

  • Ongoing opportunities to learn and develop new skills
  • Tools and flexibility to create meaningful impact
  • Coaching and leadership development opportunities
  • Diverse and inclusive workplace culture
  • Opportunity to contribute to AI innovation across multiple client sectors
  • Collaboration with global clients and AI specialists
  • Exposure to established global brands
  • Access to a growing ecosystem of people, learning, skills, and insights

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