EY - GDS Consulting - AIA - AI Engineer- Senior
Ernst and Young18 hours ago
Chennai, IndiaSenior
Responsibilities
- Design, develop, test, deploy, and support enterprise AI/ML, Generative AI, RAG, conversational AI, copilot, and AI-agent solutions.
- Build document ingestion, parsing, chunking, embedding, indexing, retrieval, reranking, grounding, and prompt-orchestration pipelines.
- Develop tool-enabled agents and multi-agent workflows using function calling, memory, enterprise APIs, and human-in-the-loop patterns.
- Build scalable backend services and integrations using Python, FastAPI, REST APIs, microservices, asynchronous processing, and event-driven patterns.
- Develop or integrate chatbot, copilot, and agent user experiences using React, TypeScript, and related frameworks.
- Implement real-time AI interactions using WebSockets, Server-Sent Events, or token streaming with safe rendering and resilient error handling.
- Integrate AI solutions with enterprise applications, workflow platforms, databases, vector stores, search services, and cloud data platforms.
- Implement evaluation and quality checks for retrieval, groundedness, accuracy, hallucination risk, prompt performance, tool execution, latency, and cost.
- Apply Responsible AI, PII protection, access controls, data privacy, secure coding, prompt-injection mitigation, content safety, and auditability controls.
- Containerize and deploy services and contribute to automated testing, CI/CD, monitoring, logging, release management, and production support.
- Troubleshoot issues across data pipelines, models, prompts, agent workflows, APIs, vector stores, streaming services, and user interfaces.
- Prepare technical designs, implementation notes, test evidence, runbooks, solution walkthroughs, and delivery updates.
- Contribute reusable components, SDKs, accelerators, and engineering standards, and guide junior team members when required.
Requirements
- 4-8 years of professional experience in AI/ML, data engineering, cloud engineering, software development, or related fields.
- Hands-on experience delivering enterprise or client-facing AI/ML, GenAI, copilot, conversational AI, agentic AI, or RAG solutions through development, testing, deployment, and operational support.
- Strong proficiency in Python and working knowledge of SQL, data structures, algorithms, software engineering, and object-oriented design.
- Strong understanding of LLMs, prompt engineering, RAG, embeddings, semantic and hybrid search, vector databases, conversational AI, and AI agents.
- Experience with one or more agent frameworks such as LangChain, LangGraph, AutoGen, CrewAI, Microsoft Agent Framework, or Google Agent SDK; MCP familiarity is preferred.
- Experience developing APIs and scalable services using FastAPI, REST, JSON, microservices, asynchronous workflows, and event-driven architecture.
- Experience with at least one cloud AI platform such as Azure AI Foundry, Azure OpenAI, AWS Bedrock, GCP Vertex AI, or Gemini.
- Experience with vector stores and search platforms; relational databases, MongoDB, Redis, and ClickHouse experience is beneficial.
- Understanding of machine learning, NLP, model integration, model evaluation, data preparation, and feature engineering.
- Working knowledge of Docker, Kubernetes or OpenShift, Git, GitHub Actions or GitLab CI, automated testing, CI/CD, MLOps, and LLMOps.
- Experience implementing logging, monitoring, tracing, AI observability, performance optimization, and production support.
- Understanding of Responsible AI, security, privacy, PII protection, guardrails, hallucination checks, accessibility, and safe model-output display.
- Working knowledge of React, TypeScript, and Next.js; experience with chat, copilot, or agent interfaces is preferred.
- Experience with reusable UI components or SDKs, typed API clients, state management, design systems, accessible user experiences, WebSockets, Server-Sent Events, or token-level LLM streaming is preferred.
- Strong analytical, problem-solving, written and verbal communication, documentation, collaboration, and stakeholder-management skills.
- Bachelor's or master's degree in Computer Science, Data Science, Artificial Intelligence, Information Technology, Engineering, or a related discipline.
- Relevant certifications in Microsoft Azure, AWS, Google Cloud, Databricks, AI/ML, or Generative AI are preferred.
Benefits
- Opportunity to work on AI-driven innovation and deliver measurable business impact for global clients across multiple sectors.
- Collaboration with AI experts, analytics leaders, and industry specialists in an entrepreneurial environment.
- Continuous learning, coaching, leadership development, and tools and flexibility to make a meaningful impact.
- Diverse and inclusive culture with opportunities to work with EY Global Delivery Services teams across Argentina, China, India, the Philippines, Poland, and the UK.
Tech Stack
ClickHouseDockerFastAPIGitGitHub ActionsGitLab CI/CDKubernetesMongoDBNext.jsOpenShiftPythonReactRedisSQLTypeScript
Categories
About Ernst and Young
Ernst & Young (EY) provides audit/assurance, tax, consulting, strategy and transactions services to enterprises, financial institutions, and public‑sector clients. Structured as a global network of partner‑owned member firms, it sells professional services on a fee basis, including a dedicated Financial Services Organization for banking, insurance, and capital markets. Headquartered in London, EY was formed in 1989 from the merger of Ernst & Whinney and Arthur Young, and operates in 150+ countries.