Top Tech Jobs & Startup Jobs

Lead change processes for client implementations, ensuring successful adoption of new systems through design and execution of change management strategies and plans.

Lead cross-functional teams to deliver business strategy and AI advisory services, driving strategic client relationships and AI adoption.

Lead design and delivery of secure, scalable AI solutions across enterprise programmes. Define AI architectures, governance, Responsible AI, and reusable patterns. Provide architectural oversight, support presales and discovery, build prototypes and accelerators, and guide delivery teams from discovery to production and ongoing model management.

Provide senior-level data engineering and analytics consultancy: capture requirements, design data platform and BI/advanced analytics solutions, implement ETL and data transformation, and deliver clear reports and dashboards using Microsoft and cloud data technologies.

The position involves providing consulting services as per client needs at Hitachi with qualifications in engineering.

Provide L2/L3 support for business-critical Azure-hosted solutions, operating and troubleshooting Azure infrastructure, networking, PaaS services, integrations, monitoring, security and governance. Support CI/CD, IaC, incident/problem management, collaborate with developers, drive operational improvements, and participate in paid on-call rota. Work within enterprise Azure Landing Zone environments and comply with public-sector/regulatory requirements.

Design, build, test, deploy, and support Azure-native solutions using C#, .NET, Python, and front-end frameworks. Implement cloud-native architectures, IaC, CI/CD, containers, observability, and integrate Azure AI/OpenAI capabilities for GenAI and automation-driven solutions.

Lead delivery of cloud-based data engineering, analytics and AI solutions. Advise clients, design solution architectures, build data platforms and ETL/ELT pipelines on Microsoft Fabric and Databricks, develop Power BI dashboards, mentor teams, and ensure timely, scalable delivery.