Top Tech Jobs & Startup Jobs in Vancouver

Lead the product workstream in client engagements to assess current PDLC, design future-state AI-native product development, coach PMs, scope and write executable specs for prototypes and MVPs, shape agentic product tooling, and feed field learnings back into methodology and pre-sales.

Lead AI strategy and architecture engagements, design AI operating models, and facilitate executive communication while ensuring successful implementation with a Forward Deployed Engineer.

Manage end-to-end AWS and Anthropic funding program workflows, including documentation, funding requests, invoice preparation, compliance checks, approvals, and deadline tracking. Maintain accurate client records and operational systems, communicate program updates, coordinate with internal teams and external AWS stakeholders, resolve documentation issues, and improve efficiency through reporting tools and automation.

Lead a team of software engineers and architects delivering complex, AI-first cloud applications for enterprise clients. Responsibilities include people management, requirements gathering, architecture, backlog ownership, technical decision-making, AI-driven testing, client discovery, risk escalation, executive communication, mentoring, and pre-sales support. The role requires hands-on AWS cloud-native development, consulting expertise, and leadership across large, multi-stakeholder engagements.

The Senior Forward Deployed Engineer manages client relationships, architecting, building, and closing deals while ensuring autonomous delivery of AI solutions. Responsibilities include discovery, architecture reviews, and capability transfer to clients, requiring significant engineering and client-facing experience.

Design and implement enterprise contact center transformations using Amazon Connect, generative AI (Bedrock/Claude), serverless backends, and full-stack React tooling. Build contact flows, AI agents, CDK infrastructure, observability, CI/CD and migration solutions; collaborate with customers, mentor engineers, and ensure production reliability, security, and accessibility.

The AI/ML Engineering Manager leads ML engineering teams, manages client engagements, shapes architecture, ensures technical quality, and drives business growth through ML operations.

Lead architecture and delivery of AI-native Amazon Connect contact center solutions: design multi-agent conversational AI, implement contact flows and serverless backends, author IaC, build analytics and observability, mentor engineers, and manage risk and client engagements for production contact centers.