Senior Cloud Architect, Field Engineering – GenAI Focus
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Job Description
Senior Cloud Architect role focused on GenAI and cloud architecture at DoiT’s Forward Deployment Engineering team. Delivering AI engagements and leading customer-focused technical projects.
Responsibilities:
- 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, 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 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 by using technical consulting, implementation engagements, and proof-of-value work to help 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.
- Turn field work into repeatable plays
- 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.
- Work cross-functionally to close and deliver
- 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.
- Help ensure customer engagements are well-scoped, well-documented, and tied to clear success criteria.
- Operate with discipline
- 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.
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 — particularly Amazon Bedrock (Knowledge Bases, model evaluation, guardrails), retrieval-augmented generation (RAG) patterns with vector databases, and agentic AI design patterns.
- 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: escalate early, resolve fast, and own the outcome.
Benefits:
- Unlimited Vacation
- Flexible Working Options
- Health Insurance
- Parental Leave
- Employee Stock Option Plan
- Home Office Allowance
- Professional Development Stipend
- Peer Recognition Program
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