Job Title or Location

AI Technical Lead

Hire DigITalent - 4 Jobs

Toronto, ON

Posted today

Job Details:

Full-time
Experienced

Our client is seeking a Technical Lead to own AI project delivery end to end. You bring a proven track record building systems and are ready to lead others doing the same. This will start as a 12-month contract, 3 days/week in downtown Toronto.

What You'll Do

Intake & Scoping

  • Lead intake calls — surface the real problem behind the stated ask

  • Scope effort, timeline, and resourcing with the PM based on real build requirements

  • Assess feasibility early; say no (or "not yet") when work isn't a fit

  • Recommend simpler solutions when AI isn't the right answer

Technical Leadership

  • Lead AI-native engineers — set direction, review architecture, mentor

  • Make key calls: model/framework selection, build vs. buy, technical debt tradeoffs

  • Stay hands-on: prototyping, unblocking, code review, debugging evals

  • Define delivery standards — evaluation criteria, human-in-the-loop design, fallback behavior

  • Track the AI tooling landscape, favoring production-ready over novel

Delivery Ownership

  • Own end-to-end delivery across concurrent projects, accountable for outcomes

  • Run delivery cadence with the PM: milestones, risks, dependencies, escalations

  • Manage shifting requirements and resulting tradeoffs

Stakeholder Management

  • Primary contact for business stakeholders throughout the project

  • Proactively manage expectations; surface risks early

  • Present progress and tradeoffs to senior, non-technical audiences

  • Challenge assumptions and offer alternative approaches

  • Work across sponsors, product/ops teams, data platform teams, leadership, and external partners

What We're Looking For

  • 8+ years in software/AI-ML engineering, including 3+ years leading technical teams, with substantial hands-on experience prior

  • Still hands-on — shipped production systems, can go deep on design

  • Experience building LLM applications: agentic workflows, RAG, orchestration, prompt/context engineering, evaluation

  • Strong Python and code review skills

  • Production experience on cloud AI/data platforms (Azure, AWS, Databricks, or similar)

  • Track record owning business-facing projects end to end, including when they slipped

  • Strong scoping instincts — can size effort accurately from a short conversation

  • Ability to influence senior stakeholders without formal authority

  • Comfortable with ambiguity and shifting priorities

Bonus

  • Consulting or agency background

  • Experience building delivery processes from scratch

  • Consumer goods or enterprise transformation experience

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