Senior Azure Cloud Architect

Do you think Artificial Intelligence is changing the world? So do we.

At Gemmo, we don’t just build models: we help Fortune 200 companies like Novartis and Broadridge harness the power of AI to generate real, measurable impact. We are a Machine Learning and Computer Vision startup founded in 2020, headquartered in Dublin, Ireland, with an AI Lab in Milan, Italy.

Our expertise spans Machine Learning and Generative AI for financial services and Computer Vision for life sciences. We build custom AI solutions that combine automation with human insight — first exploring the highest-impact opportunities, then designing and deploying tailored solutions, and finally helping improve and maintain them over time. We believe in responsible, pragmatic AI: systems that integrate into real workflows, provide measurable value, and remain under your control.

• Machine Learning & Engineering: 14 people, including 2 Ph.D.s
• Business & Strategy: 3 people
• Leadership: 2 people

A lean, technical-first team — and we’re growing. We’re looking to add 5 new tech roles before the end of the year.

We are looking for a Senior Azure Cloud Architect to own cloud infrastructure design and delivery for our financial services engagements. This is an individual contributor role with real client exposure: you will work directly with technical stakeholders at client organisations, translate complex requirements into sound architectural decisions, and be accountable for the quality of what gets built and deployed.

You will work closely with our engineering team to ensure that AI-driven platforms are backed by infrastructure that is secure, scalable, and fit for regulated environments.

Design and document end-to-end cloud architectures on Azure for financial services clients, taking ownership of service selection, cost optimisation, and compliance considerations.

Act as the primary technical point of contact with client engineering and infrastructure teams, leading architecture discussions and translating business requirements into concrete technical plans.

Work alongside ML engineers and backend developers to ensure that AI workloads, data pipelines, and APIs are deployed on infrastructure that meets enterprise and regulatory requirements.

Contribute to technical proposals and scoping documents for new client engagements, providing credible architectural estimates and risk assessments.

Identify and resolve infrastructure risks across active projects, particularly where data governance, latency, or compliance constraints are involved.

• Cloud: Azure
• Languages: Python, TypeScript, SQL
• Data: Snowflake, Postgres
• APIs and services: OpenAI, Anthropic
• Engineering practices: Git workflows, CI/CD pipelines, automated testing, infrastructure as code

Proven experience designing and delivering production Azure architectures, ideally within financial services or other regulated industries.

Strong grasp of security, compliance, and data governance requirements in enterprise cloud environments.

Comfort working directly with senior client stakeholders: you can run an architecture review, explain trade-offs clearly, and push back when necessary.

Familiarity with AI and ML workloads is a plus, but cloud architecture is the primary competence we are hiring for.

Two short daily standups, weekly sprints, and a Friday retrospective. Everything else is async: documentation on Linear and GitHub, communication on Slack.

This role is fully remote from anywhere in Italy. Occasional travel to client sites or our Milan office should be expected.

Working hours: Monday to Friday, 08:30 to 17:30 CET.

We keep it fast and transparent, with a total timeline of three to four weeks.

• Initial interview with CTO or Senior Engineer (15 minutes): company and role presentation, alignment on expectations.
• Technical interview (60 minutes): architecture discussion, Azure design scenarios, and reasoning through real financial services constraints.
• Interview with CEO (30 minutes): final alignment on vision, culture, and direction.

• 5+ years of hands-on cloud architecture experience, with Azure as the primary platform
• Familiarity with Snowflake
• Proven delivery of production-grade Azure infrastructure for enterprise clients
• Direct experience working with client technical stakeholders: architecture reviews, requirement translation, and written design documentation
• Strong grasp of security, compliance, and data governance requirements in regulated cloud environments
• Comfortable reasoning about trade-offs across cost, scalability, latency, and compliance, and communicating those trade-offs clearly to both technical and non-technical audiences
• Fluent in infrastructure as code and modern engineering practices: CI/CD, Git workflows, automated testing
• Professional English required; Italian is a strong plus

• Experience in financial services or other regulated industries (capital markets, insurance, banking)
• Exposure to AI or ML workloads in production
• Background in consulting or professional services, where you have owned client relationships alongside technical delivery