Senior Cloud Architect, Field Engineering (GenAI Focus) - Portugal

DoiT is a global technology company that works with cloud-driven organizations to leverage public cloud to drive business growth and innovation. They deliver DoiT Cloud Intelligence, integrating advanced technology with human intelligence to solve complex multicloud problems and drive efficiency. DoiT is an award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, serving more than 4,000 customers worldwide.

• 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, including Amazon Bedrock, 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 proof-of-values.
• 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.

Bonus Points:

• Experience delivering GenAI workshops, technical assessments, or customer implementation engagements.
• Experience with 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).
• 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.

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, emphasizing 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 requiring technical depth, speed, and credibility.

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 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 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 to become standard delivery approaches, playbooks, or product feedback.
• Help move successful one-off customer work into repeatable solution packages, templates, and standardized offerings.
• Contribute to standardization of engagement sizing, delivery approach, and technical assets to improve team efficiency.

Work cross-functionally to close and deliver:

• Partner with Solution Engineers, Account Managers, Customer Success Managers, Engagement Managers, and partner teams to scope and execute work.
• Provide technical leadership during discovery, planning, handoff, and delivery.
• Ensure customer engagements are well-scoped, documented, and tied to clear success criteria.

Operate with discipline:

• Maintain clear visibility into active work, risks, dependencies, and next steps.
• Use team operating systems and workflows to keep customer engagement data current and measurable.
• Contribute to adoption playbooks, funding workflows, Jira hygiene, and management cadence to scale the Field Engineering model.

This role is based remotely in the UK, Ireland, Estonia, Sweden, the Netherlands, and Israel. The job is also open to contractors in Eastern Europe or Portugal.