Senior AI Platform Engineer

Ernst & Young LLP ( EY India ); Bengaluru; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

EY Global Delivery Services (GDS) invites an AI Platform Engineer (Senior) to architect GenAI solutions within enterprise AI platforms. You will craft scalable backend services using Python, FastAPI, and microservices, while integrating advanced LLM tooling and vector databases.

Join a team focused on secure, observable AI systems, governance, and collaboration with data engineers, security, and product owners to deliver impactful client solutions.

Qualifications

• Bachelor's degree in computer science, IT, engineering, or related field.
• 4+ years in software engineering with GenAI, LLMs, and backend development.
• Strong Python for AI apps and backend services.
• Hands-on with LangChain/LangGraph and agent frameworks; vector search experience.

Responsibilities

• Design and develop GenAI apps using LangChain, LangGraph, MCP.
• Build agentic AI architectures with multi-agent workflows and tool calls.
• Develop RAG pipelines: ingestion, chunking, embeddings, vector indexing.
• Implement semantic search with Azure AI, Pinecone, FAISS, Redis Vector.
• Design scalable backend services with Python, FastAPI, microservices.
• Deploy with Docker, Kubernetes, OpenShift; CI/CD with GitHub/GitLab.
• Ensure AI governance, data privacy, responsible AI practices.

Skills

GenAI

LLMs

Python

FastAPI

REST APIs

Microservices

Azure OpenAI

Azure AI Services

Docker

Kubernetes

OpenShift

GitHub Actions

GitLab CI

Vector DBs

Education

Bachelor's degree

Tools

LangChain

LangGraph

AutoGen

Google Agent SDK

MCP

Azure OpenAI

Pinecone

FAISS

Redis Vector

pgvector

MongoDB

ClickHouse

Job description

EY - GDS Consulting - AIA - AI Platform Engineer- Senior 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.

The opportunity

AIA – AI ENGINEER Role Type Full Time

Your key responsibilities

Technical Excellence: AI Engineering & Agentic AI Development

• Design and develop enterprise-grade GenAI applications leveraging LLM frameworks such as LangChain, LangGraph / AutoGen / Google Agent SDK, and Model Context Protocol (MCP).
• Build and deploy agentic AI architectures, including multi-agent workflows, tool/function calling, enterprise integrations, and autonomous decision-making systems.
• Develop and maintain Retrieval-Augmented Generation (RAG) pipelines, including document ingestion, chunking, embeddings generation, vector indexing, retrieval optimization, and response grounding.
• Implement semantic search and knowledge retrieval solutions using vector databases such as Azure AI Search, Pinecone, FAISS, Redis Vector, and pgvector.
• Design robust AI system architectures that ensure scalability, reliability, security, and performance.
• Contribute to AI evaluation, observability, monitoring, and performance optimization of LLM-powered applications.
• Stay current with emerging trends in GenAI, Agentic AI, multimodal AI, enterprise AI platforms, and AI engineering practices.

Backend & Platform Engineering

• Design and build scalable backend services using Python, FastAPI, REST APIs, microservices, and event-driven architectures.
• Develop reusable AI platform components, services, APIs, and integrations to accelerate enterprise AI adoption.
• Integrate AI solutions with enterprise systems, third-party applications, workflow platforms, and data services.
• Troubleshoot and optimize AI pipelines, APIs, vector stores, backend services, and cloud-native applications.
• Implement scalable deployment strategies using containerized and cloud-native architectures.

Cloud, Infrastructure & DevOps

• Develop enterprise AI solutions using Azure OpenAI, Azure AI Services, and cloud-native services.
• Deploy and manage applications using Docker, Kubernetes, OpenShift, and container orchestration platforms.
• Build and maintain CI/CD pipelines using GitHub Actions, GitLab CI, and modern DevOps tooling.
• Ensure production readiness through monitoring, observability, automated testing, release management, and operational excellence.
• Support deployment and lifecycle management across development, testing, staging, and production environments.

AI Governance, Security & Responsible AI

• Implement enterprise controls for PII protection, data privacy, AI security, compliance, and responsible AI practices.
• Support AI governance initiatives through monitoring, auditability, access controls, and compliance frameworks.
• Contribute to AI observability practices, including monitoring model behavior, hallucination risks, accuracy, latency, and retrieval quality.
• Ensure adherence to enterprise architecture, security standards, and engineering best practices.

Team Collaboration & Delivery Excellence

• Collaborate with data engineers, cloud and platform teams, security teams, product owners, and business stakeholders to refine requirements and deliver scalable AI solutions.
• Participate in architecture reviews, code reviews, testing reviews, and technical design discussions.
• Drive engineering excellence through reusable components, documentation, automation, and quality standards.
• Support production operations including troubleshooting, performance tuning, root-cause analysis, and continuous improvement.

Skills and Attributes

Educational Background

• Bachelor’s degree in computer science, Information Technology, Engineering, or a related discipline.

Professional Experience

• 4+ years of professional software engineering experience with strong exposure to GenAI, LLMs, platform engineering, and backend development.
• Strong hands‑on expertise in Python for AI application development and backend engineering.
• Experience building LLM‑powered applications, RAG systems, agentic workflows, prompt engineering solutions, and enterprise AI integrations.
• Hands‑on proficiency with LangChain, LangGraph, and exposure to AutoGen, Google Agent SDK, Model Context Protocol (MCP), or skills‑based agent frameworks.
• Experience implementing vector search solutions using Azure AI Search, Pinecone, FAISS, Redis Vector, or pgvector.
• Strong understanding of embeddings, semantic search, chunking strategies, retrieval optimization, ranking, and context management.
• Experience developing scalable backend services using FastAPI, REST APIs, microservices, and event‑driven architectures.
• Hands‑on experience with Azure OpenAI and Azure AI Services.
• Knowledge of containerization technologies such as Docker, with exposure to Kubernetes and OpenShift.
• Experience implementing CI/CD pipelines using GitHub Actions, GitLab CI, or similar DevOps platforms.
• Strong understanding of SQL and NoSQL databases including MongoDB, Redis, ClickHouse, and scalable data architectures.
• Experience supporting enterprise AI systems through monitoring, observability, evaluation, and production operations.
• Understanding of AI governance, security, privacy, compliance, and responsible AI frameworks.
• Banking or financial services domain experience is preferred.

Soft Skills

• Strong analytical and problem‑solving capabilities.
• Excellent communication and stakeholder management skills.
• Ability to translate complex business requirements into scalable technical solutions.
• Strong collaboration skills across engineering, product, and business functions.
• Commitment to engineering excellence, continuous learning, and innovation.

Preferred Certifications

• GenAI and LLM focused, AI/ML, or data analytics certifications (Google, Microsoft, AWS, Coursera, etc.).

Why Join Us

• Be at the forefront of AI‑driven innovation across multiple client sectors.
• Work with global clients to drive real business impact.
• Collaborate with a team of AI experts, analytics leaders, and industry specialists in a highly entrepreneurial environment.

What we offer

EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations - Argentina, China, India, the Philippines, Poland and the UK - and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well‑known brands from across the globe. We’ll introduce you to an ever‑expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: Y ou’ll be embraced for who you are and empowered to use your voice to help others find theirs.

Experience Level

Senior Level