22 Oct
|
Collage
|
Montreal
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. With over 20 years of experience, we've established ourselves as a trusted partner in the ever‑evolving world of technology.
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 We value and support our team members' career growth and ongoing professional development. And we recognize their achievements and outstanding results on a regular basis. We work hard and play hard.
"People Matter. Be like gumby. Do it right." These are the three values we follow every day. These truly represent who we are and what we care about.
What you will do:
1. 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.
- Define deliverables, exclusions, assumptions, dependencies, client responsibilities,
acceptance criteria, and delivery phases. 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. Identify scope changes early and explain their impact on effort, schedule, cost, and outcomes.
2. 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.
- Combine document extraction, classification, validation, matching, and human review with deterministic business rules. Apply retrieval‑augmented generation (RAG), assistants, or agents where they fit the use case.
- Use AI coding tools such as Claude Code, Codex, and GitHub Copilot to accelerate development, testing, debugging, refactoring, and documentation.
Review generated changes critically and remain accountable for correctness, security, and maintainability.
- Prototype and iterate with users and domain experts. Collaborate with data, software, analysis, architecture, security, and project management specialists as engagement needs require.
3. Production Delivery & Client Outcomes
- Define success criteria and baselines with the client, including adoption, business value, accuracy, acceptable error rates, human‑review needs, reliability, latency, and operating cost.
- Test, deploy, monitor, troubleshoot, and improve solutions in client environments. Own release readiness and operational handover, balancing speed, quality, security, cost, and delivery risk.
- Provide documentation, runbooks, knowledge transfer, and explicit support ownership so clients can sustain the solution. Turn successful delivery into reusable patterns, accelerators, and building blocks.
Who you are:
- You combine hands‑on engineering, architectural judgment, and commercial awareness.
- You are comfortable in sales discovery, detailed scoping, code, and client delivery.
- 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 navigate ambiguity, validate assumptions, and turn discovery into realistic delivery commitments.
- You take ownership of outcomes and raise delivery risks, scope changes, or competing priorities early.
What you bring:
Experience
- Typically 5 to 10 years of relevant experience
📌 Forward Deployed AI Engineer (Montreal)
🏢 Collage
📍 Montreal