Enterprise AI Deployment Engineer

Jobgether; Canada; Remote; CAD 184,000 - 226,000; Full time

Benefits offered by this job

Equity opportunities

Remote work arrangement

Flexible office membership through IWG

Benefits tailored to country of resd

Job summary

Jobgether invites a Forward Deployed Engineer – Akai based in Canada to work at the intersection of AI engineering, customer consulting, and product delivery. You will collaborate with mid-market and enterprise customers to design AI-powered agents and bring them into production across discovery, prototyping, deployment and adoption.

You will lead engagements, analyze client workflows, prototype solutions, and coordinate with engineering and go‑to‑market teams to scale deployments while focusing

Qualifications

• At least 3–5 years of relevant client-facing experience.
• Experience in management consulting, entrepreneurship, product strategy, solutions engineering, or a similar role.
• Hands-on AI prototyping and production deployments.

Responsibilities

• Lead end-to-end implementations from discovery to deployment and expansion.
• Collaborate with senior colleagues on enterprise deployments.
• Analyze operations to identify bottlenecks and automation opportunities.
• Build and deploy AI agents using AI platforms and LLMs.
• Drive adoption and measure business value after launch.

Skills

Client-facing experience

Excellent communication

Commercial awareness

Adaptability

Collaborative mindset

Education

Engineering, mechanical engineering, or applied science background

Tools

SQL

Lightweight scripting

APIs

No-code tools

JSON

Job description

Jobgether invites a Forward Deployed Engineer – Akai based in Canada to work at the intersection of AI engineering, customer consulting, and product delivery. You will collaborate with mid-market and enterprise customers to design AI-powered agents and bring them into production across discovery, prototyping, deployment and adoption.

You will lead engagements, analyze client workflows, prototype solutions, and coordinate with engineering and go‑to‑market teams to scale deployments while focusing