Remotery

Senior Cloud Architect, Field Engineering – GenAI Focus

Posted May 30

This is a fully remote position, open to applicants in Netherlands.

📋 Description

• 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.


⛳️ Requirements

• 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.


🏝️ Benefits

• 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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