Forward Deployed Engineer, AI & Agentforce

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Forward Deployed Engineer, AI & Agentforce based in Canada. As a Forward Deployed Engineer, AI & Agentforce, you will design, build, and demonstrate cutting-edge AI-powered solutions that address real-world enterprise challenges. You will work directly with clients to transform business requirements into functional AI agents, rapid prototypes, and compelling proof-of-value demonstrations. Collaborating with technical architects and business stakeholders, you will lead solution development, refine agent behavior, and troubleshoot complex technical issues in real time. Your work will focus on accelerating client decisions, validating innovative AI capabilities, and demonstrating measurable business value through practical implementations. In a fast-paced, client-facing environment, you will leverage modern AI tools and enterprise platforms to deliver results within compressed timelines. This role is ideal for a technically strong, hands-on problem solver who thrives on experimentation, customer collaboration, and bringing emerging AI technologies into production-ready concepts. The position is remote within Canada, with eligibility limited to residents of Alberta, British Columbia, and Ontario. Accountabilities: - AI Solution Design and Development: Rapidly design and build AI-powered agents within client environments, translating business requirements into functional architectures that include subagents, deterministic guardrails, dynamic actions, and foundational data models. - Rapid Prototyping and Proof of Value: Develop functional prototypes that validate technical feasibility, demonstrate business value, and help clients assess AI solutions before committing to broader implementations.

- Competitive Evaluations: Build and refine agentic AI solutions during competitive evaluations, incorporating client feedback in real time and demonstrating the capabilities of AI-driven architectures against alternative approaches. - Client Engagement and Technical Leadership: Lead recurring technical sessions with clients, serve as the primary technical point of contact, demonstrate progress, gather feedback, clarify scope, and guide solution iterations throughout the engagement. - Business Value Demonstration: Connect technical capabilities to measurable business outcomes, including customer service deflection, reduced handling times, lower operating costs, and improved user satisfaction. Present findings clearly to executives and non-technical stakeholders. - Live Demonstrations: Design and deliver interactive demonstrations that showcase advanced AI agent capabilities, handle technical questions, and communicate the practical value of proposed solutions. - Technical Troubleshooting and Optimization: Diagnose and resolve issues involving dialogue flows, agent execution, integrations, system logic, and platform constraints. Optimize solutions under tight deadlines while maintaining functionality and reliability. - Architecture and Integration: Assess enterprise architecture requirements, integration dependencies, data models, and platform limitations to ensure proposed solutions are technically feasible and aligned with client environments. - Risk Identification and Delivery Management: Identify delivery bottlenecks, integration challenges, architectural limitations, and stakeholder misalignment early. Communicate risks proactively and implement solutions that maintain momentum against demanding milestones. - Reusable Assets and Knowledge Sharing: Convert lessons learned from client engagements into reusable solution accelerators, demonstration assets, technical documentation, and internal knowledge resources that improve future delivery efficiency.