Forward Deployed Engineer

InsightMontreal, QC
Hybrid

About The Position

As a Consultant I - Forward Deployed Engineer, you will write the code, debug the integrations, and stay close enough to the customer’s data and systems to turn a promising prototype into something dependable. We will count on you to blend deep technical craft with the consultative instinct to translate a business problem into a working solution, and the resilience to navigate the data-readiness, integration, and state management challenges of our clients. Along the way, you will get to embed directly within customer environments to design, code, and deploy bespoke agentic and generative AI solutions, carrying them from prototype through to production grade reality. You will resolve the production-level obstacles—data readiness, integration complexity, and state management—that stand between a compelling demo and an enterprise-grade system. You will also establish code standards, architectural best practices, and benchmarks that hold delivery to a consistently high bar across engagements, and architect AI solutions within customer infrastructure so that data sovereignty, secure governance, and observability are designed in from the start rather than bolted on later. This opportunity is not just about what you do today but also about where you can go tomorrow. When you bring your hunger, heart, and harmony to Insight, your potential will be met with continuous opportunities to upskill, earn promotions, and elevate your career.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
  • 1+ years of experience in AI, cloud computing or a technical, customer-facing role, with a track record of hands-on software delivery.
  • Strong programming ability
  • Experience developing AI and generative AI solutions, including multi-agent workflows and Retrieval-Augmented Generation (RAG) systems.

Nice To Haves

  • Bilingual in French and English

Responsibilities

  • Embed directly within customer environments to design, code, and deploy bespoke agentic and generative AI solutions, carrying them from prototype through to production grade reality.
  • Resolve the production-level obstacles—data readiness, integration complexity, and state management—that stand between a compelling demo and an enterprise-grade system.
  • Establish code standards, architectural best practices, and benchmarks that hold delivery to a consistently high bar across engagements.
  • Architect AI solutions within customer infrastructure so that data sovereignty, secure governance, and observability are designed in from the start rather than bolted on later.

Benefits

  • Freedom to work from another location—even an international destination—for up to 30 consecutive calendar days per year.
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