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

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

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

More skills:

retrieval-augmented generation (RAG) patterns with vector databases, infrastructure-as-code, CloudOps

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