обновлено 12 дней назад
VP, Solutions Architect - AWS (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
VP, Solutions Architect - AWS (AI): Designing and delivering enterprise-grade generative and agentic AI platforms on AWS with an accent on Amazon Bedrock, AgentCore, RAG, multi-agent orchestration, security, and cost optimization. Focus on validating production architectures through Python prototyping, establishing MLOps and responsible AI governance, and guiding complex tradeoffs across model selection, compliance, latency, and scalability.
Location: Remote within the United States
Company
Robots & Pencils blends creativity, engineering, and AWS-powered AI to build smart systems for organizations.
What you will do
- Lead the design and delivery of enterprise-grade generative and agentic AI systems from discovery through production.
- Architect AWS-native solutions using Amazon Bedrock, Bedrock AgentCore, AWS Strands Agents, AgentCore Gateway, Lambda, Step Functions, API Gateway, DynamoDB, Aurora, and OpenSearch.
- Produce reference architectures, architecture decision records, implementation roadmaps, and reusable infrastructure modules.
- Validate feasibility through hands-on Python prototyping and guide model, latency, cost, governance, and compliance tradeoffs.
- Provide architectural oversight to delivery teams, establish AWS MLOps and observability practices, and mentor engineers.
- Partner with product, engineering, research, customer success, and client stakeholders, including in pre-sales workshops and AWS migration strategy.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
- 10+ years of software engineering or cloud architecture experience with deep AWS ownership.
- Deep expertise in Amazon Bedrock, Bedrock AgentCore, AWS Strands Agents, AgentCore Gateway, and related AWS AI services.
- Experience with SageMaker, model fine-tuning, RAG, multi-agent systems, distributed systems, event-driven architectures, and serverless patterns.
- Proficiency in Python, AWS SDKs, and Infrastructure as Code with AWS CDK, CloudFormation, or Terraform.
- Experience leading enterprise-scale AWS transformations, observability strategies, secure architectures, and executive-level communication.
Nice to have
- AWS Professional or Specialty certifications, including Solutions Architect, DevOps Engineer, Machine Learning, or Security.
- Experience with ReAct, Chain-of-Thought, Tree-of-Thoughts, AWS Control Tower, Glue, Redshift, or Lake Formation.
- Consulting or professional services experience.
Culture & Benefits
- Shape enterprise-scale generative and agentic AI platforms using advanced AWS services.
- Influence the evolution of the AWS AI practice and contribute to internal accelerators.
- Collaborate with distributed teams and client stakeholders across North America.
- Balance innovation with secure, scalable, production-ready delivery.
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