Senior Cloud Architect, Field Engineering – GenAI Focus

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

📋 Description

• Execute high-impact AI projects

• Lead hands-on delivery for GenAI implementation projects, funded initiatives, technical proof-of-value efforts, and various customer-oriented AI activities.

• 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 discovery to delivery, which includes design reviews, workshops, implementation assistance, and executive-level presentations.

• Navigate complex customer scenarios where technical expertise, speed, and credibility are essential.

• Drive results across the four key pillars of FE growth.

• Facilitate product adoption by assisting customers in implementing and integrating DoiT products within AI engagements and broader cloud initiatives.

• Aid in acquiring new logos by leveraging technical consulting, implementation projects, and proof-of-value work to open and progress new opportunities.

• Broaden the install base by supporting existing customers in adopting advanced features, launching new workloads, and transitioning to higher-value products and services.

• Enhance 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 processes.

• Identify patterns, reusable assets, and "gravel road" solutions that should 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 methods, and technical resources to boost team efficiency over time.

• Collaborate cross-functionally to secure and execute work.

• Work closely with Solution Engineers, Account Managers, Customer Success Managers, Engagement Managers, and partner teams to define and deliver appropriate work at optimal times.

• Provide technical leadership during discovery, planning, handover, and delivery phases.

• Ensure customer engagements are well-defined, thoroughly documented, and aligned with clear success criteria.

• Operate with discipline.

• Maintain transparent visibility into active projects, risks, dependencies, and upcoming steps.

• Utilize the team’s operating systems and workflows to keep customer engagement data updated and measurable.

• Contribute to adoption playbooks, funding workflows, Jira management, and the operational cadence necessary to scale the Field Engineering model.

⛳️ Requirements

• Experience in customer-facing cloud architecture, technical consulting, solutions delivery, or field engineering.

• Hands-on familiarity with AWS in real customer environments.

• Working knowledge of contemporary AI and GenAI architectures on AWS — especially 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 navigate between technical depth and customer-facing communication seamlessly.

• Experience leading workshops, discovery sessions, implementation efforts, or technical proof-of-values.

• Strong judgment in ambiguous situations; capable of simplifying, prioritizing, and advancing work without excessive procedural overhead.

• Comfortable collaborating across sales, delivery, customer success, product, and partner stakeholders.

• Natural ownership mindset: escalate early, resolve swiftly, and take responsibility 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