Sharepoint sr. software engineer Jobs

We are seeking a Senior GenAI Engineer to design, build, and scale production-grade Generative AI solutions that deliver measurable business outcomes across enterprise planning, consolidation, forecasting, and reporting. You will translate complex business challenges into LLM-powered applications—copilots, conversational agents, document intelligence, AI-driven automation—deeply integrated with SAP BW/4HANA, SAP BPC, SAP Analytics Cloud (SAC), Anaplan, and adjacent enterprise applications.
You will work hands-on with Azure OpenAI / AWS Bedrock / Anthropic / open-source LLMs, along with enterprise frameworks such as Microsoft Copilot Studio. A critical dimension of the role is enabling AI within finance and performance management processes, including month-end insights, variance explanation, forecasting support, reconciliation exceptions, and decision-support copilots, integrated using APIs, OData services, event-driven patterns, and workflow orchestration.
This is a high-impact engineering role at the intersection of GenAI innovation and SAP/Planning ecosystems, partnering with product owners, SAP functional teams, platform architects, and security/compliance stakeholders.

What you’ll be doing

1) GenAI Platform Engineering

Design, develop, and deploy GenAI solutions using Azure OpenAI / AWS Bedrock; select models (GPT, Claude, Llama, etc.) based on accuracy, cost, and performance
Build enterprise copilots/agents (Copilot Studio or similar) integrated with M365, Teams, SharePoint, Dataverse
Implement RAG pipelines using vector DB/search tools (Azure AI Search, OpenSearch, Pinecone) with structured enterprise data

2) SAP & Planning Ecosystem Integration

Integrate GenAI with SAP S/4HANA, BW, BPC, SAC, Anaplan via APIs, BTP services, and event-driven workflows
Build secure API layers (REST/GraphQL) ensuring data access, governance, and compliance

3) AI-Ready Data Foundations (SAP BW/4HANA)

Design scalable data models (ADSO, ODS, Composite Providers) for AI-driven use cases

4) Planning & Performance (BPC / SAC / Anaplan)

Deliver AI use cases: forecasting, scenario modelling, variance analysis, and insights generation
Integrate AI outputs into planning workflows, dashboards, and enterprise models

5) Evaluation, Monitoring & Responsible AI

Define evaluation metrics (accuracy, latency, cost, reliability) and monitor using Azure/AWS tools
Implement guardrails, security controls, and responsible AI practices (data protection, human-in-loop)

6) Architecture & Leadership

Contribute to platform architecture, scalability, resilience, and cost optimisation
Translate business needs into production-ready solutions
Drive best practices, documentation, and mentor teams

Essential Skills / Experience

5+ years software engineering experience with 2+ years focused on GenAI/LLMs/applied ML in production.
Hands-on with Azure OpenAI Service and/or AWS Bedrock (deployment, API integration, token/cost governance, security).
Experience building copilots/agents using Microsoft Copilot Studio, Azure AI Studio, LangChain, LlamaIndex, Semantic Kernel, or equivalent.
Strong RAG expertise: embeddings, chunking strategies, retrieval optimization, evaluation, and grounding techniques.
Strong coding skills in Python (primary) plus one of TypeScript/Node.js/Java.
Enterprise integration experience: OData/REST APIs, event-driven patterns, workflow orchestration; experience integrating with SAP is strongly preferred.
Solid understanding of enterprise security: OAuth2, managed identities, RBAC, secrets management, network controls, and data residency/compliance.
Experience with Docker/Kubernetes and CI/CD for AI app deployments.

SAP / Planning Experience (Must Have for this Role)
Candidates must have solid exposure to at least two of the following, with preference for all four:

SAP BW/4HANA: modeling, data acquisition patterns, performance optimization, semantic layers
SAP BPC: planning/consolidation, logic patterns, automation and operational stability
SAP Analytics Cloud (SAC): planning models, data actions, analytics designer, operationalization
Anaplan: model building, performance tuning, integrations via APIs, enterprise planning workflows

Desirable Skills / Experience

Experience with open-source LLMs (Llama/Mistral/Phi), fine-tuning (LoRA/PEFT), or self-hosted inference.
Multi-agent orchestration (AutoGen, CrewAI) and tool calling patterns.
Exposure to SAP BTP, SAP Integration Suite, SAP Datasphere, SAP AI Core, and/or SAP Joule.
Advanced LLM observability tools: LangSmith, Weights & Biases, Arize, prompt/version governance tooling.
Knowledge of compliance standards (GDPR/SOC2/ISO27001) applied to AI solutions.
NLP/document intelligence/multimodal AI experience (text + vision).
Contributions to open-source or published writing in GenAI.

BT is the UK’s leading communications group and the holding company behind some of the country’s most recognised brands – including BT, EE, Openreach and Plusnet. Our purpose is as simple as it is ambitious: we connect for good. Our customers include consumers, small, medium and large businesses, public sector organisations and other communications providers.

BT s' role is about setting direction, unlocking value and creating the conditions for our brands and businesses to thrive.

Having come through the most capital-intensive phase of our fibre investment, our focus now is on what comes next – simplifying how we operate, using technology and AI to work smarter, and organising ourselves to serve customers better and grow sustainably. Group teams shape strategy, policy, brand, capital allocation and transformation, helping the whole organisation perform at its best.

We have a singular culture that unites all our people: we are customer-first challengers, who are committed, clear and connected. These behaviours unite us as one team to deliver for our colleagues, our customers, our stakeholders and the country. Joining BT Group means working at the heart of a business that matters to the UK, with the opportunity to shape decisions, influence outcomes and help set the future course of one of the country’s most important companies.

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