VP of Solutions Architect – AI

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🕒 Julho 17

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Robots & Pencils

SiteLinkedInTodas as Vagas

51 - 200 funcionários

🤖 Inteligência Artificial

🤝 B2B

☁️ SaaS

💰 Venture Round em 2022-04

Artificial Intelligence • B2B • SaaS

A Robots & Pencils é uma empresa de inovação digital especializada no desenvolvimento de estratégias digitais e produtos utilizando tecnologias móveis, web e de ponta para impulsionar a transformação das empresas. Eles se concentram em áreas como desenvolvimento móvel, design de produto, pesquisa de UX, inteligência artificial, machine learning e gestão de mudanças organizacionais. Com o compromisso de combinar criatividade com tecnologia, eles visam desbloquear insights de dados e aprimorar a inovação em produtos, entregando, assim, excelentes experiências aos clientes e ajudando as marcas a obter uma vantagem competitiva.

Descrição

• 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 (including foundation models and custom models), Bedrock AgentCore, AWS Strands Agents, and AWS AgentCore Gateway. • Design advanced RAG, Agentic RAG, and multi-agent orchestration architectures leveraging AWS-native services such as Lambda, Step Functions, API Gateway, DynamoDB, Aurora (pgvector), and OpenSearch. • Produce AWS reference architectures, architecture decision records (ADRs), and implementation roadmaps aligned to business objectives. • Validate feasibility through hands-on prototyping in Python using Bedrock SDKs, SageMaker, and serverless services. • Ensure architectures follow AWS security best practices (IAM, KMS, VPC, PrivateLink) and cost optimization principles. • Own architectural integrity from concept through production deployment on AWS. • Align solutions with AWS Well-Architected Framework pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability. • Guide clients through tradeoff decisions across model selection (Bedrock FMs vs custom SageMaker models), latency, cost, governance, and compliance. • Accelerate time-to-value through reusable AWS accelerators, Infrastructure as Code (CloudFormation/Terraform/CDK), and CI/CD automation. • Continuously evaluate emerging AWS AI capabilities (Nova Forge, Nova 2 Sonic, Bedrock updates, and new AgentCore capabilities). • Provide architectural oversight to Forward Deployed Engineers and AWS delivery teams. • Establish best practices for MLOps on AWS including model lifecycle management, monitoring, and observability using SageMaker, CloudWatch, CloudTrail, and AWS Config. • Define governance, responsible AI guardrails, Bedrock Guardrails configuration, and security controls for enterprise environments. • Mentor engineers on AWS AI service integration, distributed systems design, and secure multi-account strategies. • Make principled tradeoffs under constraints related to privacy, compliance (SOC2, HIPAA, GDPR), cost, and operational complexity. • Partner with internal product, engineering, research, and customer success teams to evolve AWS-based AI offerings. • Contribute AWS reference architectures and reusable infrastructure modules to internal accelerators. • Support pre-sales engagements including architecture workshops, AWS migration strategy, and solution scoping. • Collaborate across distributed teams and client stakeholders across North America.

🎯 Requisitos

• 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 (training, deployment, pipelines), 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 both technical and executive audiences. • AWS Professional Certifications highly preferred (AWS Solutions Architect – Professional, AWS DevOps Engineer – Professional).

🏖️ Benefícios

• Professional development opportunities