EY - GDS Consulting - AIA - Agentic AI - Senior

ey

Bengaluru, India 5 Years Exp Posted 16d ago

Job Description

  • Develop and implement Agentic AI, Generative AI, and AI solutions specifically for Banking use cases under the guidance of managers and solution architects.
  • Translate functional and technical requirements into working AI components, APIs, prompts, workflows, agents, and reusable development modules.
  • Build and enhance LLM-powered applications, AI copilots, RAG pipelines, Agentic RAG workflows, autonomous agents, and multi-agent orchestration flows.
  • Work with data scientists, AI engineers, architects, product teams, and banking domain stakeholders to develop high-impact AI solutions.
  • Develop banking-focused AI solutions for use cases such as customer servicing, document intelligence, lending support, credit assessment, fraud detection, KYC/AML support, compliance assistance, and operations automation.
  • Use Azure OpenAI, Azure AI Foundry, Azure AI Services, Azure AI Search, Azure Machine Learning, Azure Functions, Azure DevOps, and related Azure services to build and deploy enterprise AI applications.
  • Implement AI agents and orchestration workflows using frameworks such as Microsoft Agent Framework, LangGraph, LangChain, CrewAI, and related tools.
  • Support data preprocessing, prompt engineering, vector indexing, retrieval workflows, model integration, testing, evaluation, observability, and performance tuning.
  • Follow secure coding, Responsible AI, AI governance, model validation, documentation, and compliance practices while developing AI solutions.
  • Participate in agile delivery ceremonies, sprint planning, code reviews, defect resolution, deployment support, and production monitoring activities.
  • Create technical documentation, reusable components, solution notes, and implementation guides for AI and Agentic AI solutions.
  • Stay updated with emerging GenAI, Agentic AI, LLMOps, Azure AI, cloud AI services, and software engineering practices relevant to Banking.
  • Present technical progress, demos, solution components, and development outcomes to internal stakeholders and client teams.
  • Support junior developers and analysts through knowledge sharing, code walkthroughs, and hands-on guidance. 

 

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