Opportunities from Microsoft Careers

Full Job Description

Lead technical delivery of customer-facing solutions, across AI-Ready Data Platforms, AI application development, agentic systems and cloud modernization. Manage senior stakeholder expectations via owning technical plans across project delivery life cycle Identify & report on business and technical risks, assess impact and propose mitigations and contingencies Support and mentor own and client teams throughout delivery Deliver results through teamwork while achieving individual billable attainment goals Strong time, project, and priority management skills Seek opportunities to drive Consulting business by collaborating with multiple diverse team members Ability to travel across EMEA when required (up to 50%) Design and build enterprise-grade AI applications, copilots, and multi-agent solutions using Azure AI Foundry, Azure OpenAI, Foundry Agent Service, Copilot Studio, and modern cloud-native technologies. Apply Responsible AI principles, AI governance, observability, evaluation frameworks, and security best practices throughout the AI development lifecycle. Collaborate with customers to identify business transformation opportunities enabled by AI, automation, and advanced analytics. Build secure and scalable deployment pipelines for cloud, data, and AI workloads, including AI application lifecycle management (LLMOps/MLOps/AIOps). Technical background in IT services is essential, along with Financial Services/ Banking Sector experience. You will have demonstrated skills leading teams designing and developing technology to solve business problems and help customers enhance applications across AI-ready data platforms, AI application development, agentic systems, and cloud modernization: AI-Ready Data Platforms & Modernization Design and deliver AI-ready data platforms that enable analytics, Gen AI, Copilot, and agentic AI workloads across enterprise environments. Experience implementing modern data architectures including Lakehouse, data mesh, real-time analytics, vector search, RAG, and enterprise knowledge platforms. Implement governance, security, and data quality controls that support enterprise-scale AI adoption. Experience delivering enterprise software using Agile, DevOps, and modern engineering practices. Expertise in GitHub, Azure DevOps, GitHub Copilot, CI/CD, infra automation & cloud-native delivery models. Experience with IaaC using Terraform, Bicep, ARM, YAML, PowerShell, Python, or similar technologies. Experience with containers (AKS, Container Apps), APIs, event-driven architectures, monitoring, observability, and automated testing would be beneficial. Bachelor's Degree (B.S./B.A.) in Computer Science, Engineering, or equivalent work experience Object-Oriented Programming (OOP) and Design experience Relational database expertise (SQL experience is a plus) API development and design Fluency in English is required