DoiT
Technology
SeniorCloudArchitect,FieldEngineering(GenAIFocus)
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Cloud Architect, Field Engineering (GenAI Focus) at DoiT. Skills: GenAI, AWS, Cloud Architecture, Field Engineering. Deliver high-impact AI engagements. Lead hands-on delivery for GenAI engagements”
What You'll Achieve.
Drive business growth and innovation; Operate in a well-architected and scalable state; Solve complex multicloud problems; Drive efficiency; Move from exploration to production outcomes; Add focused AI delivery capacity; Reduce single-person dependency risk; Scale repeatable customer outcomes; Improve team efficiency; Achieve measurable impact across the business; Increase delivery capacity for AI work; Convert more technical engagement into durable product adoption; Improve technical influence on pipeline; Create repeatable AI delivery patterns
Industry & Context.
Simplify, prioritize, and move work forward; Solve complex multicloud problems
What They're Looking For.
Must Have
Customer-facing cloud architecture experience, Technical consulting experience, Solutions delivery experience, Field engineering experience, Hands-on experience with AWS, Working knowledge of modern AI and GenAI architectures on AWS, Amazon Bedrock (Knowledge Bases, model evaluation, guardrails), Retrieval-augmented generation (RAG) patterns with vector databases, Agentic AI design patterns, AWS CDK or similar infrastructure-as-code for deploying AI workloads, Ability to move between technical depth and customer-facing communication, Experience leading workshops, Experience leading discovery sessions, Experience leading implementation activities, Experience leading technical POVs, Judgment in ambiguous situations, Ability to simplify, prioritize, and move work forward, Comfortable working across sales, delivery, customer success, product, and partner stakeholders, Natural ownership mentality
Nice to Have
Experience delivering GenAI workshops, Experience delivering technical assessments, Experience delivering customer implementation engagements, Experience with the AWS Migration Acceleration Program (MAP), Experience with partner-funded implementation programs, Experience with similar structured cloud adoption programs, Experience building reusable technical assets, Experience building templates, Experience building playbooks that improved delivery leverage, Experience with Amazon SageMaker for MLOps workflows, Experience with model monitoring, Experience with custom model deployment, Familiarity with agentic AI frameworks (e.g., AgentCore, Strands, or similar orchestration tools), Hands-on experience with vector databases (Aurora pgvector, OpenSearch) in production RAG architectures, AWS cloud certifications, Experience with DoiT products, Experience with cloud cost optimization, Experience with Kubernetes, Experience with data engineering, Experience with platform modernization
What You'll Do.
Deliver high-impact AI engagements
Lead hands-on delivery for GenAI engagements
Translate customer goals into architectures
and validate AWS-native AI solutions
Own technical execution from discovery through delivery
Step into complex customer situations
Support product adoption
Contribute to new logo acquisition
Expand the install base
Collaborate with AWS partner teams
Identify patterns and reusable assets
Move successful work into repeatable solutions
Contribute to standardization of engagement sizing
Partner closely with Solution Engineers
Provide technical leadership during discovery
Ensure customer engagements are well-scoped
Maintain clear visibility into active work
Use team's operating systems and workflows
How You'll Work.
Team & Collaboration
Collaborate with Solution Engineers; Collaborate with Account Managers; Collaborate with Customer Success Managers; Collaborate with Engagement Managers; Collaborate with partner teams; Work cross-functionally to close and deliver; Collaborate with AWS partner teams
Communication Scope
Customer-facing communication
Process & Methodology
Manage project execution, Manage project risks, Manage project dependencies, Manage project next steps
Full Job Description
Location Our Senior Cloud Architect, Field Engineering (GenAI Focus) will be an integral part of our global Forward Deployment Engineering team. This role is based remotely in the he UK, Ireland, Estonia, Sweden, the Netherlands, and Israel. The job is also open to contractors in Eastern Europe or Portugal. About DoiT DoiT is a global technology company that works with cloud-driven organizations to leverage public cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state—from planning to production. Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency. With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide. The Opportunity We are hiring a Senior Cloud Architect to strengthen our AWS-focused AI Field Engineering capability inside Customer Experience. This is a customer-facing, delivery-heavy role focused on GenAI advisory and implementation engagements, business value assessment engagements, AWS-funded adoption programs, and complex technical adoption projects that help customers move from exploration to production outcomes. This role is designed as a more clearly defined Field Engineering job within the existing organization, not as a separate standalone team. The goal is to add focused AI delivery capacity, reduce single-person dependency risk, and scale repeatable customer outcomes through better execution, enablement, and feedback into the wider Field Engineering motion. You will contribute directly to the four Field Engineering growth pillars: product adoption, partner leadership, new logo acquisition, and install base expansion. To suppo
Applying for this Senior Cloud Architect, Field Engineering (GenAI Focus) role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Greenhouse
- Create a Greenhouse profile before applying — it saves time across multiple applications.
- Upload your resume as a PDF; the parser handles it better than Word.
- Answer all knockout questions carefully — wrong answers auto-reject before a human sees you.
- Enable email notifications to track application status in real time.
ANONYMOUS · UNFILTERED
What do employees actually say about DoiT?
Real rants from real employees. Read before you apply.