Senior Cloud Architect, Field Engineering – GenAI Focus

🕒 vor 23 Tagen

⏰ Vollzeit

🟠 Senior

🔧 Serviceingenieur

🇬🇧 UK-Skilled-Worker-Visum-Sponsor

Dieses Unternehmen hat in der Vergangenheit UK-Skilled-Worker-Visa gesponsert.

Jetzt Bewerben

Ähnliche Remote-Jobs finden

E-Mails für Remote-Jobs erhalten

📊 Überprüfen Sie Ihre Lebenslauf-Bewertung für diese Stelle

Verbessern Sie Ihre Chancen auf ein Vorstellungsgespräch, indem Sie Ihre Lebenslauf-Bewertung vor der Bewerbung überprüfen.

Lebenslauf hochladen

DoiT International

WebsiteLinkedInAlle Stellen

201 - 500 Mitarbeiter

Gegründet 2014

☁️ SaaS

SaaS • Cloud Services • Consulting

DoiT International ist ein Cloud-Services-Unternehmen, das umfassende Lösungen für das Management und die Optimierung von Cloud-Infrastrukturen über mehrere Plattformen wie AWS, Google Cloud und Microsoft Azure bereitstellt. Zu den Leistungen gehören Cloud-Kostenmanagement, Workload Intelligence, Automatisierung und Beratung. DoiT International hilft Unternehmen, ihre Cloud-Umgebungen zu optimieren, die Performance zu verbessern und die Sicherheit zu erhöhen – durch eine Kombination aus fortschrittlicher Technologie und Expertenberatung.

Beschreibung

• Deliver high-impact AI engagements • Lead hands-on delivery for GenAI implementation engagements, funded implementation projects, technical proof-of-value engagements, and other customer-facing AI initiatives. • Translate customer goals into practical architectures, implementation plans, and measurable technical outcomes. • Build, configure, and validate AWS-native AI and data solutions, with emphasis on production-ready architectures and services. • Own technical execution from discovery through delivery, including design reviews, workshops, implementation support, and executive-ready readouts. • Step into complex customer situations where technical depth, speed, and credibility are required. • Drive outcomes across the four FE growth pillars • Support product adoption by helping customers implement and integrate DoiT products as part of AI engagements and broader cloud initiatives. • Contribute to new logo acquisition by using technical consulting, implementation engagements, and proof-of-value work to help open and progress new opportunities. • Expand the install base by helping existing customers adopt advanced features, launch new workloads, and move to higher-value product and service motions. • Strengthen partner leadership by collaborating with AWS partner teams, supporting funded programs, and helping DoiT show up as a strategic technical partner in AI-related motions. • Turn field work into repeatable plays • Identify patterns, reusable assets, and “gravel road” solutions that should become standard delivery approaches, playbooks, or product feedback. • Help move successful one-off customer work into repeatable solution packages, templates, and standardized offerings for the broader team. • Contribute to standardization of engagement sizing, delivery approach, and technical assets to improve team efficiency over time. • Work cross-functionally to close and deliver • Partner closely with Solution Engineers, Account Managers, Customer Success Managers, Engagement Managers, and partner teams to scope and execute the right work at the right time. • Provide technical leadership during discovery, planning, handoff, and delivery. • Help ensure customer engagements are well-scoped, well-documented, and tied to clear success criteria. • Operate with discipline • Maintain clear visibility into active work, risks, dependencies, and next steps. • Use the team’s operating systems and workflows to keep customer engagement data current and measurable. • Contribute to adoption playbooks, funding workflows, Jira hygiene, and the management cadence needed to scale the Field Engineering model.

🎯 Anforderungen

• Experience in customer-facing cloud architecture, technical consulting, solutions delivery, or field engineering. • Hands-on experience with AWS in real customer environments. • Working knowledge of modern AI and GenAI architectures on AWS — particularly Amazon Bedrock (Knowledge Bases, model evaluation, guardrails), retrieval-augmented generation (RAG) patterns with vector databases, and agentic AI design patterns. Familiarity with AWS CDK or similar infrastructure-as-code for deploying AI workloads. • Ability to move between technical depth and customer-facing communication with ease. • Experience leading workshops, discovery sessions, implementation activities, or technical POVs. • Strong judgment in ambiguous environments; able to simplify, prioritize, and move work forward without heavy process overhead. • Comfortable working across sales, delivery, customer success, product, and partner stakeholders. • Natural ownership mentality: escalate early, resolve fast, and own the outcome.

🏖️ Vorteile

• Unlimited Vacation • Flexible Working Options • Health Insurance • Parental Leave • Employee Stock Option Plan • Home Office Allowance • Professional Development Stipend • Peer Recognition Program