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

Posted May 30
This is a fully remote position, open to applicants in Estonia.
• Execute impactful AI engagements.
• Lead hands-on delivery for GenAI implementation projects, funded implementation initiatives, technical proof-of-value assignments, 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 executive-ready presentations.
• Navigate complex customer scenarios requiring technical expertise, rapid response, and credibility.
• Foster outcomes aligned with the four FE growth pillars.
• Promote product adoption by assisting customers in implementing and integrating DoiT products within AI projects and broader cloud strategies.
• Aid in acquiring new logos through technical consulting, implementation projects, and proof-of-value work to facilitate new opportunities.
• Increase the install base by supporting current customers in adopting advanced features, launching new workloads, and transitioning to higher-value product and service motions.
• Enhance partner leadership by collaborating with AWS partner teams, backing funded programs, and positioning DoiT as a strategic technical partner in AI-related activities.
• Transform fieldwork into standardized processes.
• Recognize patterns, reusable assets, and "gravel road" solutions that can evolve into standard delivery methods, 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 the standardization of engagement sizing, delivery methodologies, and technical resources to boost team efficiency over time.
• Collaborate cross-functionally to secure and execute delivery.
• Work closely with Solution Engineers, Account Managers, Customer Success Managers, Engagement Managers, and partner teams to define and implement the right tasks at the right time.
• Provide technical leadership throughout discovery, planning, handoff, and delivery stages.
• Ensure customer engagements are well-defined, well-documented, and linked to clear success criteria.
• Operate with discipline.
• Maintain clear visibility into ongoing tasks, risks, dependencies, and upcoming steps.
• Utilize the team's operating systems and workflows to keep customer engagement data up-to-date and measurable.
• Contribute to adoption playbooks, funding processes, Jira management, and the operational cadence necessary for scaling the Field Engineering model.
• Experience in customer-facing cloud architecture, technical consulting, solutions 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 using vector databases, and agentic AI design patterns.
• Ability to seamlessly transition between technical depth and customer-facing communication.
• Experience leading workshops, discovery sessions, implementation tasks, or technical proofs of value.
• Strong decision-making skills in ambiguous situations; capable of simplifying, prioritizing, and advancing work without excessive process constraints.
• Comfortable collaborating across sales, delivery, customer success, product, and partner stakeholders.
• Natural ownership mindset: escalate issues early, resolve them swiftly, and take responsibility 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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