Artificial Intelligence Full Time Canada Remote $100,000 - $150,000 CAD per year ProServeIT is a leading IT solutions provider that specializes in delivering innovative technology solutions to help businesses thrive. We are looking to hire a Forward Deployed AI Engineer with a focus on leading technical pre-sales, scoping commercially viable engagements, and building production applications and intelligent workflows on Azure using AI coding tools and appropriate AI services.This role partners with account executives and client stakeholders to identify opportunities, shape solutions, and turn business needs into scoped, commercially viable engagements. The role combines hands‑on engineering, architectural judgment, and business understanding to own delivery from discovery and estimation through production deployment, adoption, and client handover.

Life at ProServeIT is fast paced, performance‑driven, rewarding, and fun! These truly represent who we are and what we care about.

Technical

Pre-sales & Scoping Lead technical discovery, solution workshops, and sales discussions alongside a non‑technical account executive, translating operational challenges into feasible solution options and recommendations. Confirm data availability, quality, access, and integration constraints with client teams and specialists.

Create

Statements of Work (SOWs) and delivery estimates covering work packages, engineering effort, staffing, timelines, project management, and contingency. Prepare gross margin (GM) and project management (PM) calculators. Work with account executives and delivery leadership to validate costs, resource mix, and margin against commercial targets. Own technical scope and estimates within the agreed commercial approval process.

Application

Engineering & Applied AI Build complete Azure applications, including web interfaces, APIs, data persistence, authentication, and enterprise integrations. Select appropriate AI services, including Azure AI Foundry, Azure OpenAI, Document Intelligence, and Copilot Studio. Use AI coding tools such as Claude Code, Codex, and GitHub Copilot to accelerate development,



testing, debugging, refactoring, and documentation.

Collaborate with data, software, analysis, architecture, security, and project management specialists as engagement needs require. Own release readiness and operational handover, balancing speed, quality, security, cost, and delivery risk. Turn successful delivery into reusable patterns, accelerators, and building blocks.

You combine hands‑on engineering, architectural judgment, and commercial awareness. You enjoy solving operational challenges and building applications people can use. You explain technical options, estimates, and trade‑offs clearly to account executives, technical teams, and senior business stakeholders.

You take ownership of outcomes and raise delivery risks, scope changes, or competing priorities early. Typically 5 to 10 years of relevant experience in software engineering, application architecture, or technical consulting, with demonstrated hands‑on delivery.

Experience delivering production applications on Azure and applying AI capabilities to real operational workflows. Practical experience with project costing, gross margin and project management calculators, resource planning, and scope control; A degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related field, or equivalent practical experience.

Technical Skills

Full‑stack application delivery, including web interfaces, APIs, relational or document databases, authentication, and enterprise integrations. Familiarity with frameworks such as React, Node.js, or ASP.NET Core.

Effective use of AI coding tools: defining tasks and acceptance criteria, providing repository context, reviewing generated changes,



and independently validating and debugging the resulting software. Hands‑on Azure delivery across application hosting, Functions, storage, databases, Entra ID, managed identities, Key Vault, and private networking; Practical experience with Azure AI services such as Azure AI Foundry, Azure OpenAI, or Document Intelligence, including model selection, structured outputs, and integration into business workflows. Hands‑on Git, automated testing, Docker, CI/CD, production deployment, monitoring, failure recovery, and troubleshooting.

AI evaluation using representative client samples and explicit acceptance thresholds;

Experience building agents or enterprise extensions with Microsoft Copilot Studio.

Experience integrating business systems such as ERP, HR, finance, or healthcare platforms, Microsoft Graph, or Microsoft Fabric. Exposure to regulated industries, sensitive‑data workflows, or enterprise governance requirements. You connect technical credibility, commercial judgment, and end‑to‑end ownership from the first client meeting through handover.

You make realistic commitments and balance delivery speed, quality, cost, risk, and project margin. You build trust with clients and account executives through clear recommendations and reliable follow‑through. You manage priorities across pre‑sales and active delivery with sales and delivery leadership, keeping progress and risks visible.

To ensure a fair and efficient recruitment process, we use AI‑powered screening tools to assist in the initial review of applications. These tools help us identify candidates whose qualifications closely match the job requirements. Diversity, Inclusion and Accessibility ProServeIT values diversity of thought and is proud to be an equal chance employer.

All applications will receive consideration for employment without regard to race, colour, creed, gender, gender identity or expression, ancestry, citizenship, sex, sexual orientation, marital status, family status, ethnic origin, place of origin, disability, or age.

📌 Remote AI Engineer (Toronto)
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📍 Toronto