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Senior Cloud Architect, Field Engineering (GenAI Focus)

1 hour, 35 minutes ago
Sweden, United Kingdom, Estonia, Ireland, Netherlands, Portugal, Israel
Full-time
Senior
Solutions Architect
Software Development
AWS AWS CDK Azure GCP Generative AI JIRA Kubernetes MLOps OpenSearch
Apply Now
Zendesk

Zendesk

Zendesk provides a comprehensive software solution designed to enhance customer service and engagement through an AI-powered platform that facilitates communication across various channels, including text, mobile, phone, email, live chat, and social me...

Professional Services
5K-10K
Founded 2007
View All Jobs 108

Description

  • 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 an emphasis on production-ready architectures and services.
  • Own technical execution from discovery through delivery, including design reviews, workshops, implementation support, and executive-ready readouts.
  • 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 through technical consulting, implementation engagements, and proof-of-value work.
  • Expand the install base by helping existing customers adopt advanced features, launch new workloads, and move to higher-value motions.
  • Strengthen partner leadership by collaborating with AWS partner teams and supporting funded programs.
  • Identify patterns and reusable assets that can be turned into playbooks, templates, and standardized offerings.
  • Partner with Solution Engineers, Account Managers, Customer Success Managers, Engagement Managers, and partner teams to scope and execute customer work.
  • Maintain visibility into active work, risks, dependencies, next steps, and engagement data using team operating systems and workflows.

Requirements

  • 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, especially Amazon Bedrock.
  • Experience with Amazon Bedrock features such as Knowledge Bases, model evaluation, and guardrails.
  • Experience with retrieval-augmented generation (RAG) patterns with vector databases and agentic AI design patterns.
  • Familiarity with AWS CDK or similar infrastructure-as-code tools for deploying AI workloads.
  • Experience leading workshops, discovery sessions, implementation activities, or technical POVs.
  • Ability to move between technical depth and customer-facing communication with ease.
  • Strong judgment in ambiguous environments and the ability to simplify, prioritize, and move work forward without heavy process overhead.
  • Comfort working across sales, delivery, customer success, product, and partner stakeholders.
  • Natural ownership mentality with the ability to escalate early, resolve fast, and own the outcome.
  • Experience delivering GenAI workshops, technical assessments, or customer implementation engagements, preferred.
  • Experience with the AWS Migration Acceleration Program (MAP), partner-funded implementation programs, or similar cloud adoption programs, preferred.
  • Experience building reusable technical assets, templates, or playbooks, preferred.
  • Experience with Amazon SageMaker for MLOps workflows, model monitoring, or custom model deployment, preferred.
  • Familiarity with agentic AI frameworks such as AgentCore, Strands, or similar orchestration tools, preferred.
  • Hands-on experience with vector databases such as Aurora pgvector or OpenSearch in production RAG architectures, preferred.
  • AWS cloud certifications, preferred.
  • Experience with DoiT products, cloud cost optimization, Kubernetes, data engineering, or platform modernization, preferred.

Benefits

  • Remote work based in the UK, Ireland, Estonia, Sweden, the Netherlands, and Israel, with contractor opportunities in Eastern Europe or Portugal.
  • Unlimited vacation.
  • Flexible working options.
  • Health insurance.
  • Parental leave.
  • Employee stock option plan.
  • Home office allowance.
  • Professional development stipend.

Interested in this position?

Apply directly on the company website

Apply Now

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