EY - GDS Consulting - AIA - AI Platform Engineer- Senior
Ernst and Young12 days ago
Bengaluru, IndiaSenior
Responsibilities
- Design and develop enterprise GenAI applications using LLM frameworks, agentic architectures, tool calling, enterprise integrations, and autonomous workflows.
- Build and maintain RAG pipelines, embeddings and vector indexing workflows, semantic search, knowledge retrieval, and response-grounding systems.
- Develop scalable backend services, reusable AI platform components, APIs, integrations, and event-driven services.
- Deploy and manage cloud-native applications using containers and orchestration platforms across development, testing, staging, and production environments.
- Build and maintain CI/CD pipelines and support monitoring, observability, automated testing, release management, troubleshooting, performance tuning, and root-cause analysis.
- Implement AI governance, privacy, security, compliance, auditability, access controls, and responsible AI practices.
- Collaborate with data engineering, cloud, platform, security, product, and business stakeholders on architecture, requirements, code reviews, and delivery.
Requirements
- Bachelor’s degree in computer science, information technology, engineering, or a related discipline.
- 4+ years of professional software engineering experience with GenAI, LLMs, platform engineering, and backend development.
- Strong hands-on Python experience 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 and LangGraph, with exposure to AutoGen, Google Agent SDK, Model Context Protocol, or skills-based agent frameworks.
- Experience with vector search, embeddings, semantic search, chunking, retrieval optimization, ranking, and context management.
- Experience developing backend services with FastAPI, microservices, and event-driven architectures.
- Hands-on experience with Azure OpenAI and Azure AI Services.
- Knowledge of Docker and exposure to Kubernetes and OpenShift.
- Experience implementing CI/CD pipelines with GitHub Actions, GitLab CI, or similar platforms.
- Strong understanding of SQL and databases including MongoDB, Redis, and ClickHouse.
- 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 experience is preferred.
- GenAI, LLM, AI/ML, or data analytics certifications are preferred.
- Strong analytical, problem-solving, communication, stakeholder management, collaboration, and requirements-translation skills.
Benefits
- Work on AI-driven innovation and real business-impact projects for global clients across multiple sectors.
- Collaborate with AI experts, analytics leaders, and industry specialists in an entrepreneurial environment.
- Continuous learning, coaching, leadership development, and access to an expanding global ecosystem of people, skills, and insights.
- Inclusive and diverse culture with tools and flexibility to make a meaningful impact.
- EY Global Delivery Services operates across Argentina, China, India, the Philippines, Poland, and the UK.
Tech Stack
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