
Senior Cloud Architect, Field Engineering – GenAI Focus
Posted May 30

Posted May 30
This is a fully remote position, open to applicants in Netherlands.
• Execute high-impact AI projects.
• Oversee hands-on delivery for GenAI implementation projects, funded initiatives, technical proof-of-value engagements, and various customer-facing AI efforts.
• Convert customer objectives into actionable architectures, implementation strategies, and quantifiable technical results.
• Construct, configure, and validate AWS-native AI and data solutions, focusing on production-ready architectures and services.
• Manage technical execution from initial discovery to final delivery, including design reviews, workshops, implementation support, and presentations for executives.
• Intervene in complex customer scenarios where technical expertise, speed, and credibility are essential.
• Propel outcomes across the four pillars of FE growth.
• Foster product adoption by assisting customers in implementing and integrating DoiT products as part of AI projects and broader cloud strategies.
• Aid in acquiring new logos by leveraging technical consulting, implementation projects, and proof-of-value work to open and advance new opportunities.
• Enhance the install base by assisting current customers in adopting advanced features, launching new workloads, and transitioning to higher-value products and services.
• Strengthen partner leadership by collaborating with AWS partner teams, supporting funded initiatives, and positioning DoiT as a strategic technical partner in AI-related activities.
• Transform fieldwork into repeatable strategies.
• Identify patterns, reusable assets, and “gravel road” solutions to develop standard delivery approaches, playbooks, or product feedback.
• Assist in converting successful one-off customer projects into repeatable solution packages, templates, and standardized offerings for the wider team.
• Contribute to standardizing engagement sizing, delivery methods, and technical assets to enhance team efficiency over time.
• Collaborate cross-functionally to secure and deliver projects.
• Work closely with Solution Engineers, Account Managers, Customer Success Managers, Engagement Managers, and partner teams to define and execute the appropriate work at the right time.
• Provide technical leadership throughout the discovery, planning, handoff, and delivery phases.
• Ensure customer engagements are well-defined, thoroughly documented, and aligned with clear success metrics.
• Maintain operational discipline.
• Keep clear visibility on active projects, risks, dependencies, and next steps.
• Utilize the team’s operational systems and workflows to ensure customer engagement data is current and measurable.
• Contribute to adoption playbooks, funding workflows, Jira management, and the necessary cadence to scale the Field Engineering model.
• Experience in customer-facing cloud architecture, technical consulting, solution delivery, or field engineering.
• Hands-on experience with AWS in real-world customer settings.
• Familiarity with 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. Knowledge of AWS CDK or similar infrastructure-as-code for deploying AI workloads is preferred.
• Ability to seamlessly navigate between technical depth and customer-facing communication.
• Experience leading workshops, discovery sessions, implementation activities, or technical proof-of-value initiatives.
• Strong judgment in ambiguous situations; capable of simplifying, prioritizing, and advancing work without excessive process overhead.
• Comfortable collaborating across sales, delivery, customer success, product, and partner stakeholders.
• Possess a natural sense of ownership: escalate issues early, resolve them quickly, and take accountability for outcomes.
• Unlimited Vacation
• Flexible Working Options
• Health Insurance
• Parental Leave
• Employee Stock Option Plan
• Home Office Allowance
• Professional Development Stipend
• Peer Recognition Program
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