Note: The job is a remote job and is open to candidates in USA. DoiT is a global technology company that helps organizations leverage public cloud for business growth and innovation. They are seeking a Senior Cloud Architect to focus on GenAI advisory and implementation within their AWS-focused AI Field Engineering team, delivering high-impact AI engagements and driving customer success.
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
- 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
- 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
- Help ensure customer 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
Skills
- 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. 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: escalate early, resolve fast, and own the outcome
- 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
Benefits
- Unlimited Vacation
- Flexible Working Options
- Health Insurance
- Parental Leave
- Employee Stock Option Plan
- Home Office Allowance
- Professional Development Stipend
- Peer Recognition Program
Company Overview
DoiT Cloud Intelligence intent-aware FinOps platform goes beyond cost optimization to drive reliability, performance, and security. It was founded in 2011, and is headquartered in Santa Clara, California, USA, with a workforce of 501-1000 employees. Its website is https://www.doit.com.Company H1B Sponsorship
DoiT has a track record of offering H1B sponsorships, with 3 in 2025, 2 in 2024, 4 in 2022. Please note that this does not guarantee sponsorship for this specific role.