VP, Solutions Architect – AWS

🕒 vor 2 Monaten

🇺🇸 Vereinigte Staaten – Remote

⏰ Vollzeit

🔴 Experte

💻 Lösungsingenieur

👻 Geisterscore 54%

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🗣️🇺🇸🇬🇧 Englisch erforderlich

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Robots & Pencils

51 - 200 Mitarbeiter

🤖 Künstliche Intelligenz

🤝 B2B

☁️ SaaS

💰 Venture Round im 2022-04

Artificial Intelligence • B2B • SaaS

Robots & Pencils ist ein Unternehmen für digitale Innovationen, das sich auf die Entwicklung digitaler Strategien und Produkte spezialisiert hat, die mobile, Web- und fortschrittliche Technologien nutzen, um Geschäftsprozesse zu transformieren. Sie konzentrieren sich auf Bereiche wie mobile Entwicklung, Produktdesign, UX-Forschung, künstliche Intelligenz, maschinelles Lernen und Management von organisatorischen Veränderungen. Mit dem Engagement, Kreativität mit Technologie zu verbinden, zielen sie darauf ab, Datenanalysen zu ermöglichen und Produktinnovationen zu verbessern, um letztendlich exzellente Kundenerfahrungen zu liefern und Marken zu helfen, einen Wettbewerbsvorteil zu erlangen.

Beschreibung

• Serve as the primary AWS AI architecture partner for strategic clients, driving generative and agentic AI system design from discovery through production • Lead architecture design using Amazon Bedrock, Bedrock AgentCore, AWS Strands Agents, and AWS AgentCore Gateway • Design advanced RAG, Agentic RAG, and multi-agent orchestration architectures using AWS-native services • Produce AWS reference architectures, architecture decision records, and implementation roadmaps • Validate feasibility through hands-on prototyping in Python using Bedrock SDKs, SageMaker, and serverless services • Ensure architectures follow AWS security best practices and cost optimization principles • Own architectural integrity from concept through production deployment on AWS • Guide clients through model, latency, cost, governance, and compliance tradeoffs • Accelerate time-to-value through reusable AWS accelerators, Infrastructure as Code, and CI/CD automation • Evaluate emerging AWS AI capabilities • Provide architectural oversight to Forward Deployed Engineers and AWS delivery teams • Establish AWS MLOps best practices for model lifecycle management, monitoring, and observability • Define governance, responsible AI guardrails, Bedrock Guardrails configuration, and enterprise security controls • Mentor engineers on AWS AI integration, distributed systems, and secure multi-account strategies • Partner with product, engineering, research, customer success, and client stakeholders • Support pre-sales engagements, architecture workshops, AWS migration strategy, and solution scoping • Contribute reference architectures and reusable infrastructure modules to internal accelerators

🎯 Anforderungen

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience • 10+ years of experience in software engineering or cloud architecture with deep AWS ownership • Deep expertise in Amazon Bedrock, Bedrock AgentCore, AWS Strands Agents, AgentCore Gateway, and related AWS AI services • Strong familiarity with SageMaker, deep learning fundamentals, and model fine-tuning strategies • Experience architecting RAG, multi-agent, and orchestration systems using AWS-native services • Strong knowledge of distributed systems, event-driven architectures, and serverless patterns • Proficiency with Infrastructure as Code (AWS CDK, CloudFormation, Terraform) • Hands-on development capability in Python and AWS SDKs • Experience implementing observability and monitoring strategies in AWS environments • Proven success leading enterprise-scale AWS transformations • Exceptional communication skills for technical and executive audiences • AWS Professional Certifications highly preferred • Nice to have: AWS Specialty certifications, advanced agentic reasoning patterns, Control Tower, Glue, Redshift, Lake Formation, and consulting or professional services background

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