1 day ago
Bengaluru, IndiaSenior
Responsibilities
- Create, develop, deploy, and scale production-grade Generative AI solutions using Azure OpenAI Service, AWS Bedrock, and foundation models.
- Build and publish enterprise copilots and AI agents using Microsoft Copilot Studio or equivalent frameworks, integrating with Microsoft 365, Teams, SharePoint, and Dataverse.
- Architect and implement RAG pipelines using Azure AI Search, OpenSearch, Pinecone, and structured knowledge bases.
- Develop prompt engineering strategies and optimize LLM output quality and consistency.
- Integrate GenAI capabilities with SAP S/4HANA using OData APIs, SAP Business Accelerator Hub connectors, SAP Event Mesh, SAP BTP, and process triggers.
- Build secure REST and GraphQL API layers connecting AI services to ERP, CRM, and operational data.
- Contribute to platform selection, cost optimization, multi-region deployment, security design, and enterprise architecture decisions.
- Mentor associate engineers and participate in design reviews, documentation, and knowledge-sharing sessions.
- Design LLM evaluation frameworks covering accuracy, hallucination rates, latency, cost per token, and user satisfaction.
- Implement production monitoring using Azure Monitor, AWS CloudWatch, and LangSmith.
- Apply content filtering, guardrails, bias detection, and explainability practices, including Azure Content Safety and Bedrock Guardrails.
- Manage model versioning, deprecation cycles, and prompt version control.
Requirements
- At least 5 years of software engineering experience, including at least 2 years focused on Generative AI, LLMs, or applied ML in production environments.
- Hands-on experience with Azure OpenAI Service and AWS Bedrock, including model deployment, API integration, token management, and cost governance.
- Experience building copilots or AI agents with Microsoft Copilot Studio, Azure AI Studio, LangChain, LlamaIndex, or equivalent agentic frameworks.
- Strong understanding of RAG architecture, vector embeddings, chunking strategies, and retrieval optimization.
- Proficiency in Python and at least one secondary language from TypeScript, Java, or Node.js.
- Experience integrating AI services with enterprise systems, ideally SAP S/4HANA, using OData, REST APIs, or event-driven patterns.
- Understanding of OAuth 2.0, managed identities, RBAC, secret management, and data residency compliance.
- Familiarity with Microsoft Azure, AWS, or GCP for deploying and scaling AI workloads.
- Experience with Docker, Kubernetes, and CI/CD pipelines for AI application deployments.
- Experience with SAP Joule and SAP AI Core.
- Knowledge of SAP BTP services and SAP Integration Suite.
Benefits
- The role is part of BT Group, a UK communications group whose brands include BT, EE, Openreach, and Plusnet.
- The position offers the opportunity to shape enterprise AI capabilities and influence technology and transformation decisions at a major UK company.
Tech Stack
Categories
About BT
BT Group builds and operates telecom networks and digital services for consumers, enterprises, and public‑sector clients, selling broadband, fixed-line voice, mobile (via EE), and managed network, cloud, and cyber security services. It is headquartered in London and listed on the London Stock Exchange, with American depositary shares on the NYSE. BT also owns Openreach, which manages the UK’s fibre and copper access network used by multiple retail providers.