EY - GDS Consulting - AIA - AI Platform Engineer- Senior
Ernst Young · Bengaluru · onsite · Posted 44d ago
Undisclosed4–9 yrsfulltimeSourced from
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About this role
Role
Career Family AIA AI Engineer
Role Type Full Time
The Opportunity We are seeking a dynamic Senior consultant to join our AI & Data Consulting team, focused on building scalable, enterprise-grade GenAI and Agentic AI solutions. The ideal candidate will bring a strong combination of AI engineering, platform development, cloud-native architecture, and backend engineering expertise, along with the ability to collaborate across cross-functional teams to deliver secure, scalable, and high-performing AI applications.
You will work closely with data engineers, cloud architects, platform teams, security teams, product owners, and business stakeholders to design and implement LLM-powered platforms, agentic AI systems, Retrieval-Augmented Generation (RAG) solutions, and enterprise AI services that accelerate innovation and business transformation.
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.
- 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.
- 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.
- 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.
- 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.
- Educational Background
- Bachelors degree in computer science, Information Technology, Engineering, or a related discipline.
- 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,
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Skills
AutomationAI evaluationai developmentAzure Aiapisai servicesautomated testingai frameworksamazon web servicesai engineerai governanceAnalyticsai securityArchitectureApplication DevelopmentAi PlatformAi SolutionsMicrosoft AzureArtificial Intelligence
About Ernst & Young
Ernst Young
Management Consulting
44k+
employees
2002
24 years old
Gurgaon / Gurugram, Haryana
India
₹15.3L PA avg
Avg at Ernst & Young
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