Ingénieur IA en déploiement terrain | Forward Deployed Engineer - Voice Agent

Valsoft Corporation • Montreal, QC

45d

About The Position

We are building the next generation of AI-powered customer service, and our flagship deployment is with one of the world's largest enterprises in the building materials sector. This is a rare, high-impact role at the intersection of enterprise consulting and hands-on AI product building. As our Forward Deployed Engineer, you will own the full client engagement lifecycle for an AI voice agent rollout: from earning executive trust in the boardroom to configuring conversation flows in a technical workshop. You are the face of our product on the ground and the engine that makes it work. This is not a traditional consulting role, and it is not a pure engineering role. It is something more valuable: a hybrid builder-consultant who can translate between business problems and technical solutions and then go build those solutions themselves.

Requirements

• 2+ years of software engineering experience, with exposure to systems integration, API development, or backend development
• Hands-on experience building or integrating software in a professional setting, including working with REST APIs, webhooks, or scripted workflows
• Experience working with large enterprise customers and navigating complex stakeholder environments
• Familiarity with CRM platforms such as Salesforce, Microsoft Dynamics, or SAP
• Comfortable designing and troubleshooting API integrations and webhooks
• Able to prototype and configure workflows independently without relying on a development team
• Working familiarity with conversational AI platforms, prompt design, and basic scripting (Python or JavaScript preferred)
• Confident with data mapping and system integration concepts
• You are a software engineer first — someone who can write and debug code, own integrations end-to-end, and build independently without relying on a separate dev team
• Exceptionally personable with strong executive presence
• Able to demystify complex AI concepts for non-technical audiences without losing accuracy
• Strong sense of ownership: you treat client outcomes as your own
• Structured thinker who brings clarity to ambiguous situations
• Comfortable operating in an early-stage environment where processes are still being built

Nice To Haves

• Experience with AI, automation, contact centres, or voice technology is a strong advantage — especially if you have worked with conversational AI platforms, LLM APIs, or voice agent tooling

Responsibilities

• Act as primary point of contact for stakeholders across Customer Service, Operations, IT, and Digital
• Build trusted relationships with senior leaders and day-to-day operators alike
• Communicate clearly with both executives and frontline managers, adjusting depth and framing to your audience
• Serve as the connective tissue between client requirements and our core engineering team
• Map end-to-end customer service workflows and identify the highest-value automation opportunities
• Design and configure conversational AI flows for voice interactions
• Integrate the voice agent with the client's existing systems (CRM, ERP, order management)
• Prototype, test, and iterate rapidly based on real-world call data
• Define and track key performance metrics including call containment, escalation rate, and customer satisfaction
• Deliver a phased rollout plan grounded in a deep understanding of the client's operations
• Present performance reports and business impact cases to senior leadership
• Build the internal case study that will underpin future enterprise deployments

Benefits

• Work on one of the most visible AI deployments in the Australian construction and building materials sector
• Rare opportunity to be both the strategic consultant and the technical builder on a flagship account
• Direct line of sight from your daily work to measurable business outcomes
• Exposure to a growing portfolio of enterprise AI deployments with a clear path to a senior leadership role
• Collaborative, high-caliber team that values craft, ownership, and speed

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 101-250 employees