Tech Lead / AI Architect

Responsibilities

• Architecture & Technical Leadership
• Define and own end-to-end technical architecture for a dual-mode agentic AI system across offline (edge) and cloud-connected (AWS Bedrock) environments
• Drive architectural decision-making across agentic orchestration, data synchronization, voice and chat interfaces, and cloud infrastructure; author and maintain Architecture Decision Records (ADRs)
• Act as the primary technical authority within the Engineering POD and the key technical interface with client stakeholders
• Bring an AI-forward development practice to every phase of the engagement - using tools like Claude, Cursor, and agentic coding assistants as force multipliers across implementation, code review, and technical documentation
• Guide and align the engineering team across AI/ML, full stack, and integration workstreams
• Hands-On Implementation
• Take direct implementation ownership across cloud infrastructure provisioning, local SQLite data layer, cloud data mirror, STT/TTS pipeline integration, and REST API surface
• Build and configure the AWS environment end-to-end - including Bedrock, Guardrails, storage, and connectivity services
• Implement the edge-to-cloud data synchronization strategy between offline local storage and AWS-hosted data stores
• Contribute to agentic orchestration implementation, integration testing, and iterative deployment; support incoming team members with onboarding and context transfer
• Agentic AI & Conversational Systems
• Design the agentic orchestration layer with tool-use, contextual memory, and conversational interaction patterns for both offline and connected modes
• Select an edge LLM based on prior experience with comparable hardware profiles; configure AWS Bedrock with Guardrails for connected-mode reasoning and content safety
• Collaborate with the AI/ML Engineer on prompt engineering, model evaluation, and proactive recommendation logic
• Ensure architectural consistency and integration quality across voice (STT/TTS) and chat modalities on a shared backend
• Delivery & Quality
• Provide technical quality assurance and architectural governance across all POD workstreams
• Lead cross-functional engineering coordination across AI/ML, full stack, product, and UX tracks
• Drive iterative delivery cadence - shipping testable software at each phase review checkpoint and supporting investor-facing demonstrations and POC readouts
• Bring an AI-forward mindset to your daily work, using tools like Claude, Cursor, and other modern AI

Benefits

Additional Information

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 Tech Lead / AI Architect to serve as the primary technical authority on an AI-native vehicle assistant engagement for a leading technology client. This is a hands- on architecture role. You will architect, implement, and ship - making system-level decisions and contributing code, often on the same day. The engagement centers on an in-vehicle AI assistant for a commercial fleet operations context, built for real-world use in constrained, connectivity-variable environments. You will lead a focused Engineering POD building a dual-mode agentic AI assistant that operates fully offline on constrained edge hardware and cloud-connected via AWS Bedrock - integrating voice and chat interfaces, edge-optimized inference, a local SQLite data layer, cloud data mirroring, and a proactive alert and recommendation engine. You will own implementation directly across cloud infrastructure, data synchronization, STT/TTS integration, and agentic orchestration, while serving as the primary technical authority from architecture through delivery. Why This Role Matters At Robots & Pencils, we design AI systems for a human world - engineering paired with creativity, because every agent we ship has to work for real people in real workflows. This engagement sits at the frontier of applied AI: conversational, agentic intelligence that operates in constrained edge environments and scales to the cloud. The architecture decisions made here will define how our client expands their AI platform from proof-of-concept to production. You are not filling a seat. You are setting the direction.

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