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Robots and Pencils

Production-ready AI implementations for enterprises

Vice President Solutions Architect - AWS

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USA$200k - $245kRemote

About the Job

Requirements

  • At least 8 years of experience in software engineering or architecture, with deep ownership of AWS environments.
  • Deep expertise in Amazon Bedrock, Bedrock AgentCore, AWS Strands Agents, AgentCore Gateway, and the broader AWS artificial intelligence and machine learning portfolio.
  • Experience architecting retrieval-augmented generation, multi-agent, and orchestration systems using AWS-native services.
  • Proficiency with infrastructure as code using AWS CDK, CloudFormation, or Terraform, and hands-on development in Python.
  • Proven success leading pre-sales or solution architecture for complex, enterprise-scale AWS engagements.
  • Experience in a consulting, systems integrator, or professional services environment.
  • Demonstrable use of AI tools such as Claude and Claude Code for discovery, prototyping, and documentation.

Responsibilities

  • Lead technical solutioning across the sales pipeline, turning qualified opportunities into complete, well-architected proposals for complex enterprise deals.
  • Architect AWS-native generative and agentic AI solutions using Amazon Bedrock, Bedrock AgentCore, AWS Strands Agents, and AgentCore Gateway, aligned to the AWS Well-Architected Framework, including the ML Lens.
  • Design retrieval-augmented generation, agentic retrieval-augmented generation, and multi-agent orchestration architectures using AWS-native services such as Lambda, Step Functions, API Gateway, DynamoDB, Aurora with pgvector, and OpenSearch.
  • Build proof-of-concepts and prototypes on AWS AI products in partnership with engineering teams when a deal needs a tangible demonstration.
  • Translate winning proposals into statements of work, work breakdown structures, and staffing plans that follow the AI software development lifecycle and support clean handoffs to engineering delivery teams.
  • Produce reference architectures, architecture decision records, and implementation roadmaps for delivery teams.
  • Use AI tools such as Claude and Claude Code to accelerate discovery, proposal writing, and architecture documentation.
  • Serve as the primary technical partner to Client Partners and sell service lines to customer C-level stakeholders.
  • Advise customer executives on long-term AI and technology roadmaps, translating ambiguity into a structured path forward.
  • Partner with internal practices to ensure proposals are technically sound, feasible to deliver, and supported by appropriate teams.
  • Lead architecture workshops, technical deep-dives, and discovery sessions to move opportunities toward scoped solutions.
  • Communicate architecture, tradeoffs, and risks to engineering teams and executive audiences.
  • Build the culture and mechanics of solution architecture, including playbooks, frameworks, and reusable assets that support practice growth.
  • Own architectural integrity from proposal through delivery handoff, ensuring the delivered work reflects what was sold.
  • Mentor engineers and future solutions architects, raising the technical bar across pre-sales and delivery.
  • Represent the firm in the AWS ecosystem and broader market through conferences, forums, and thought leadership.

Desired Qualifications

  • AWS Professional certifications, preferably AWS Solutions Architect – Professional.
  • Exposure to data engineering services such as Glue, Redshift, and Lake Formation.

About the Company

Robots and Pencils

Production-ready AI implementations for enterprises

Robots & Pencils provides enterprise AI engineering services. It builds production-ready AI systems that companies can deploy quickly, delivering measurable business impact in weeks rather than months. The team blends advanced engineering with human-centered design, combining “robots” (AI/engineering) with “pencils” (UX and product design) to create solutions that are both technically solid and easy to use. The company works with large enterprises across sectors including Consumer Products and Retail, Education, Energy, Financial Services, Healthcare, and Manufacturing, and operates with small, senior teams instead of large consulting firms. Its delivery centers span Canada, the U.S., Eastern Europe, and Latin America, making it a nimble alternative to traditional global system integrators. The goal is to help enterprises move quickly and confidently with AI initiatives, delivering solutions that are reliable, scalable, and aligned with real business needs.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Calgary, Canada
Founded
2009

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