GenAI Cloud Architect, Remote – Field Engineering Leader

Location: Remote in the UK, Ireland, Estonia, Sweden, the Netherlands, and Israel. The role is also open to contractors in Eastern Europe and 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 specialize 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: Hiring a Senior Cloud Architect to strengthen our AWS‑focused AI Field Engineering capability inside Customer Experience. This customer‑facing, delivery‑heavy role focuses 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.

Responsibilities:

• 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 Field Engineering growth pillars: product adoption, partner leadership, new logo acquisition, and install base expansion.
• 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 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.
• 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.
• 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, ensuring engagements are well‑scoped, well‑documented, and tied to clear success criteria.
• 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.

What Good Looks Like:

• Increase delivery capacity for AI work without creating fragile single‑threaded dependencies.
• Convert more technical engagements into durable product adoption and retention.
• Improve technical influence on pipeline and closed‑won outcomes.
• Create repeatable AI delivery patterns that scale across regions and partner motions.

Qualifications:

• 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, 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: elevate early, resolve fast, and own the outcome.

Bonus Points:

• 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 improve 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.

Why This Role Matters: This role helps DoiT meet growing customer demand for AI‑focused technical delivery while keeping the work embedded in Field Engineering, close to customers, partners, and revenue motions. It is intentionally designed to deepen delivery strength, improve field leverage, and support the broader Field Engineering strategy across product adoption, new logo growth, install base expansion, and partner leadership.

Are you a Do’er? Be your truest self. Work on your terms. Make a difference. We are home to a global team of incredible talent that works remotely and has the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally.

Benefits:

• Unlimited Vacation
• Flexible Working Options
• Health Insurance
• Employee Stock Option Plan
• Professional Development Stipend

Many Do’ers, One Team: DoiT unites as Many Do’ers, One Team, where diversity is more than a goal—it's our strength. We actively cultivate an inclusive, equitable workplace, recognizing that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success.