VP, Solutions Architect - AWS

About this role

Robots & Pencils is an applied AI engineering firm building the next frontier of business architecture. We design and ship AI co-workers that integrate into enterprise operations and deliver measurable results for our clients. We're all in on AWS, combining deep UX capability with senior engineering talent to get AI into production fast and keep it there. We’ve earned the trust of leaders across Consumer Products and Retail, Education, Energy, Financial Services, Healthcare, and Manufacturing and more, and earned a reputation as the nimble alternative to traditional global systems integrators.

Founded in 2009, with delivery centers in Canada, the United States, Eastern Europe, and Latin America, we are smaller, faster, and more senior by design. Our teams average 15+ years of experience. We move fast, sweat the details, and build things that actually ship. Position Overview We’re looking for a Vice President of Solutions Architecture to lead the technical strategy behind R&P’s pre-sales motion. You’ll be the trusted technical advisor to customer executives shaping their AI transformation and technology roadmaps, and the person who turns a qualified opportunity into a complete, well-architected solution the whole firm has confidence to build.

That means owning the handoff to delivery too, translating what we sold into a statement of work, work breakdown structure, and staffing plan that our engineering team can actually execute against. You’ll partner closely with Client Partners and with our practices to make sure every proposal we bring to a client is technically sound, feasible, and ready to hand off. In this role, you’ll build the culture and mechanics of solution architecture at R&P, the frameworks, reference architectures, and reusable assets that let solutioning scale as we grow to $100M in revenue.

You’re all in on AWS, comfortable prototyping alongside our engineering teams when a deal needs something tangible to show, and just as comfortable in front of a client’s CTO as you are in front of a room of engineers. You’ll also represent R&P in the AWS ecosystem, building the firm’s reputation as a credible, senior partner in enterprise AI. What You’ll Do Craft & Delivery Lead technical solutioning across the sales pipeline, turning qualified opportunities into complete, well-architected proposals that give the firm confidence to bid on increasingly 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 RAG, agentic RAG, and multi-agent orchestration architectures using AWS-native services such as Lambda, Step Functions, API Gateway, DynamoDB, Aurora (pgvector), and OpenSearch Build simple proof-of-concepts and prototypes on AWS AI products, partnering with our engineering teams whenever a deal needs something tangible to show Translate winning proposals into statements of work, work breakdown structures, and staffing plans that follow our AI SDLC, so what gets sold can be delivered and handed off cleanly to the engineering team picking up the engagement Produce reference architectures, architecture decision records, and implementation roadmaps that our delivery teams can pick up and run with Bring an AI-forward mindset to your own work, using tools like Claude and Claude Code to move faster through discovery, proposal writing, and architecture documentation Collaboration & Communication Serve as the primary technical partner to Client Partners, bringing the executive presence to sell R&P’s service lines and earn trust with customer C-level stakeholders Act as a trusted advisor to customer executives shaping their long-term AI and technology roadmaps, translating ambiguity into a structured, credible path forward Partner across R&P’s practices to make sure every proposal is well-rounded: technically sound, feasible to deliver, and backed by the right people Lead architecture workshops, technical deep-dives, and discovery sessions that move a deal from opportunity to a scoped, confident solution Communicate architecture, tradeoffs, and risk clearly to both engineering teams and executive audiences