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.

Company: DoiT

Role: Senior Cloud Architect, Field Engineering (GenAI Focus)

Location: Remote UK, Ireland, Estonia, Sweden, the Netherlands, Israel, Eastern Europe, or Portugal

Experience:

Experience in customer-facing cloud architecture, technical consulting, solutions delivery, or field engineering
Hands-on experience with AWS in real customer environments
Experience leading workshops, discovery sessions, implementation activities, or technical POVs

Key Skills:

AWS
GenAI
Amazon Bedrock
retrieval-augmented generation (RAG) patterns with vector databases
agentic AI design patterns
AWS CDK
infrastructure-as-code
Kubernetes
CloudOps

Qualification:

Working knowledge of modern AI and GenAI architectures on AWS
Ability to move between technical depth and customer-facing communication with ease
Strong judgment in ambiguous environments; able to simplify, prioritize, and move work forward without heavy process overhead

Role Focus:

Deliver high-impact AI engagements
Drive outcomes across the four FE growth pillars
Turn field work into repeatable plays
Work cross-functionally to close and deliver
Operate with discipline

Nice to have:

Experience delivering GenAI workshops, technical assessments, or customer implementation engagements
Experience with the AWS Migration Acceleration Program (MAP), partner-funded implementation programs, or similar structured cloud adoption programs
Experience building reusable technical assets, templates, or playbooks that improved delivery leverage
Experience with Amazon SageMaker for MLOps workflows, model monitoring, or 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, cloud cost optimization, Kubernetes, data engineering, or platform modernization

Other:

Full-time employee benefits include: Unlimited Vacation, Flexible Working Options, Health Insurance, Parental Leave, Employee Stock Option Plan, Home Office Allowance, Professional Development Stipend, Peer Recognition Program
We actively cultivate an inclusive, equitable workplace, recognizing that each unique perspective enhances our innovation

Senior Cloud Architect (GenAI Focus)

Skills Required

Description