2 months ago
Bengaluru, IndiaSenior
Responsibilities
- Create, develop, deploy, and scale production-grade Generative AI solutions using Azure OpenAI Service, AWS Bedrock, and foundation models such as GPT-4o, Claude, Titan, Llama, and Mistral.
- Build and publish enterprise copilots and AI agents using Microsoft Copilot Studio or equivalent frameworks, integrating with M365, Teams, SharePoint, and Dataverse.
- Architect and implement RAG pipelines using vector databases, structured knowledge bases, embeddings, chunking strategies, and retrieval optimization.
- Integrate GenAI capabilities with SAP S/4HANA and other enterprise systems through OData APIs, REST, GraphQL, event-driven architectures, SAP Event Mesh, BTP, and process triggers.
- Build secure API layers connecting AI services to ERP, CRM, and operational data sources.
- Contribute to platform selection, architecture, cost optimization, multi-region deployment, security design, and enterprise adoption.
- Design LLM evaluation frameworks and production monitoring for accuracy, hallucination rates, latency, cost, and user satisfaction.
- Apply content filtering, guardrails, bias detection, explainability, model versioning, and prompt version control.
- Collaborate with product managers, business stakeholders, SAP teams, backend engineers, and cloud platform architects.
- Mentor associate engineers and contribute to design reviews, documentation, and knowledge-sharing sessions.
Requirements
- 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 of 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, data residency compliance, and enterprise security requirements.
- 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, SAP AI Core, SAP BTP, and SAP Integration Suite.
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.