Senior Cloud Architect, Field Engineering – GenAI Focus

DoiT International

Senior Cloud Architect driving AI-focused cloud engineering solutions at DoiT. Leading customer engagements and implementation of GenAI architectures.

Posted 5/24/2026full-timeRemote • 🇸🇪 SwedenSeniorWebsite

Tech Stack

Tools & technologies

AWSCloud

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AWSGenAIAI architecturesAmazon Bedrockretrieval-augmented generationvector databasesinfrastructure-as-codeAWS CDKtechnical consultingsolutions delivery

Soft Skills

customer-facing communicationjudgment in ambiguous environmentssimplificationprioritizationnatural ownership mentalitycollaborationtechnical leadershipworkshop facilitationdiscovery session leadershipimplementation support