Published 2026-05-16
Director, AI / ML (Applied AI & Agentic Systems)
Compensation: CAD $375,000 base + equity
Location: Fully remote
US or Canadian citizens only
Company
A scaled, product-led technology company operating at the intersection of data, AI, and vertical Saa S—focused on transforming how complex, real-world decisions are made through intelligent systems.
The Opportunity
This is a rare chance to define and lead AI strategy at a company entering a pivotal phase of transformation. With strong product-market fit and a growing customer base, the business is investing heavily in AI to power next-generation product experiences—particularly across agentic workflows, decision intelligence, and applied machine learning.
You’ll step into a highly visible, business-critical role—partnering with executive leadership to shape the roadmap, while building and leading a high-impact AI/ML function.
The Role
This is a Director-level position blending strategic leadership with hands-on technical depth. You’ll own the end-to-end AI/ML vision—from defining what to build, to guiding how it’s built, to ensuring it delivers measurable business impact.
You won’t just oversee execution—you’ll help define the problems, shape solutions, and push the boundaries of what AI can unlock for customers.
What You’ll Do
Define and lead the company’s AI/ML strategy and roadmap
Partner with product and engineering leadership to identify high-impact AI opportunities
Drive development of agentic systems, Gen AI applications, and ML-powered product features
Establish frameworks for evaluating, measuring, and improving model performance
Lead and scale a multidisciplinary team (ML, AI, data science)
Guide architectural decisions across AI systems and broader platform (e.g. event-driven systems)
Translate business problems into production-grade AI solutions
Mentor and develop team members, fostering a high-performance culture
Act as a thought partner to executives and contribute to board-level discussions on AI strategy
What You’ll Bring
Proven experience operating at Director (or near-Director) level within AI/ML or applied AI
Strong track record delivering production-grade ML/AI systems—not just prototypes
Deep understanding of both:
AI/ML science (modeling, evaluation, experimentation) Engineering systems (architecture, scalability, reliability) Experience building or working with agentic systems, Gen AI, RAG, or similar modern AI paradigms
Ability to define strategy—not just execute against it
Strong business acumen—comfortable tying technical work to customer and revenue impact
Experience leading and mentoring teams (typically 5–10+)
Hands-on mindset—comfortable engaging with code, architecture, and tooling (even if not coding daily)
High ownership mentality with a proactive, opinionated approach to problem-solving
Tech Stack
Modern ML frameworks and tooling
Gen AI / LLM ecosystems (RAG, agents, prompt orchestration)
Cloud platforms (AWS/GCP/Azure)
Event-driven architectures
Data pipelines and real-time systems
Why Join?
Own and shape AI strategy at a company ready to go “all in” on AI
Work on real-world, high-impact problems with paying customers
Build agentic, AI-native product experiences—not just internal tools
High visibility role with direct influence on company direction
Blend of startup energy with established scale
Strong leadership buy-in and investment in AI
Career-defining opportunity to lead transformation at scale
About People In AI
People In AI is a specialist recruitment partner connecting exceptional AI talent with some of the most exciting companies building the future of intelligent systems. We work closely with both candidates and clients to ensure long-term success, focusing on impact, growth, and meaningful innovation.
