Senior Cloud Architect, Delivery (GenAI)

Location Our Senior Cloud Architect will be an integral part of our global Forward Deployment Engineering team. This role is based remotely in the UK, Ireland, Estonia, Sweden, the Netherlands, and Israel and is available to Full-Time Employees. The job is also open to contractors in Eastern Europe or Portugal.

About DoiT DoiT is a global technology company that works with cloud-driven organizations to leverage public cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state—from planning to production. Delivering DoiT Cloud Intelligence , the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency.

With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide. The Opportunity As a Senior Cloud Architect, you will be part of our global Forward Deployed Engineering organization, working with rapidly growing companies in EMEA and around the world.

This role sits within FDE Delivery and focuses on our install base, product adoption and customer health. You will: Lead the design and implementation of production-grade ML and Generative AI solutions on AWS (with awareness of multi-cloud environments). Act as a hands-on expert and trusted advisor for customers running AI/ML workloads at scale, from initial discovery through deployment and optimization.

Translate complex business problems into cloud architectures that are secure, reliable, cost-efficient, and observable . Help evolve how DoiT uses AI/ML internally and with customers by turning one-off solutions into reusable patterns and “gravel roads” that influence the product roadmap. You will focus more on install base health, product adoption, proactive engagements, and account-team work .

Responsibilities

Core – Deep Cloud Expertise Be the trusted cloud engineer customers lean on for high‑impact technical optimization work across cost, reliability, security, and performance. ) increase reliability and resilience (HA/DR architectures, SLO/SLA‑aware designs) strengthen security posture (IAM, network segmentation, data protection, least‑privilege) reduce operational toil (automation, self‑service, guardrails, policy enforcement) Plan and deliver structured engagements such as Cloud Optimization Sessions , cost/efficiency/performance workshops, security posture or reliability reviews, and architecture deep dives / "well‑architected" style assessments. Respond to Expert Inquiry / support requests that require deep cloud engineering expertise, ensuring high‑quality, well‑explained resolutions.

Bring domain depth in: ML / GenAI – deploying and operating ML/GenAI workloads (training and inference), GPU utilization, scaling, and cost control; MLOPS and integrating workloads with monitoring, logging, and FinOps; safe and efficient use of managed AI services. Builder – Product Feedback & Contribution Turn one‑off field work into reusable assets that improve both customer outcomes and the product itself. Convert one‑off customer solutions into Gravel Roads - reusable patterns such as playbooks, Terraform modules, CloudFlow templates, cloud diagrams, Composer Recipes -> DCI Insights, and internal /external documentation.