Lead Architect - Data & AI

• Do you thrive on designing enterprise-scale Data & AI, generative AI, and agentic AI architectures while guiding strategic customers and influencing technology decisions across Microsoft and multi-cloud ecosystems?
• Are you ready to define global architecture standards, build reusable offerings, and enable teams worldwide to deliver consistent, high-impact Data & AI solutions?

Practical Information

Location: Sofia, Bulgaria; Bucharest, Romania; Madrid, Spain | Work arrangement: Hybrid | Contract type: Full-time | Reports to: Microsoft CoE Engineering Manager | Visa status: Valid working visa for coundry of employment | Language requirements: Fluent/professional English, written and verbal

We are hiring a Lead Architect - Data & AI to join SoftwareOne’s global Center of Excellence, where you will combine technical leadership, offering ownership, customer-facing architecture, and global enablement. You will shape and scale enterprise Data & AI and agentic AI solutions, primarily across Microsoft Fabric, Microsoft Foundry, Azure AI Services, and the broader Microsoft ecosystem, while making informed architecture decisions across leading cloud and AI platforms.

This is not a delivery-only, single-cloud, or product-specialist role; we are looking for a senior architect who can translate emerging technologies into reusable architectures, scalable services, and strategic customer outcomes. You will also enable distributed teams to deliver consistently while helping define SoftwareOne’s global Data & AI strategy and offerings.

Key Responsibilities

• Define and drive SoftwareOne’s global Data & AI architecture strategy, with a Microsoft-first approach designed for multi-cloud and multi-model customer environments.
• Lead the architecture of modern data platforms, lakehouse and analytics solutions, enterprise AI, RAG, agentic AI, and production-grade AI services across Microsoft and complementary technologies.
• Shape the Data & AI intelligence layer of the Frontier portfolio, connecting data, models, agents, security, integration, developer tools, and operations into end-to-end customer solutions.
• Create scalable, repeatable offerings and delivery assets, including reference architectures, implementation patterns, assessments, playbooks, statements of work, quality gates, and technical collateral.
• Support strategic customer engagements through workshops, solution shaping, presales, architecture reviews, feasibility assessments, technical assurance, and executive-level discussions.
• Establish standards for architecture, governance, Responsible AI, security, observability, reliability, FinOps, and lifecycle management, while translating business needs into secure, scalable, and cost-effective solutions.
• Partner with Microsoft, technology providers, and global teams to accelerate market readiness, enable delivery teams through mentoring and reusable assets, and remain hands-on through prototyping and technical leadership.