Flipp partners with the largest North American retailers and brands to deliver local promotions and savings to millions of engaged shoppers daily, driving superior returns on investments.

We help people make smarter shopping decisions with autonomy and accountability. With rising living costs, Flipp's mission is crucial. Our Shopper Consideration Platform allows retailers and manufacturers to create digital experiences from their savings & deals content, aiding shoppers in deciding what to buy and where to buy it. Together, we make a difference.

Our five principles, Progress Over Perfection, Clarity Through Transparency, Learn Loudly, Challenge with Empathy, and Always Build Better, bring a relentless progress mindset to life. They’re not just slogans, but they’re the behaviours we expect, reward, and hold ourselves accountable to. You'll be equipped to make an impact, realize your potential, and stay inspired every step of the way.

The Senior Finance Automation Architect is a senior individual contributor and the principal technical designer of AI-driven solutions across the Finance organization. Reporting to the Director, Strategic Transformation, this role will partner closely with the finance organization (FP&A;, Accounting, Treasury, and adjacent business teams) to translate complex finance problems into pragmatic, production-grade technical solutions with a solid emphasis on agentic AI, intelligent automation, and machine learning for forecasting and planning.

This is an execution‑first role focused on prototyping, building, and launching production‑grade solutions that deliver measurable impact for Finance. Beyond direct execution,



the AI Architect will help influence technical direction, define architectural standards, and establish new ways of working across the organization.

What you'll get the opportunity to do:

- Architect and build agentic AI systems that automate finance workflows, including close, consolidations, variance analysis, management reporting, and ad‑hoc analytical requests.
- Design multi‑agent orchestration systems (planner, retriever, executor, reviewer) with appropriate guardrails, evaluations, and human‑in‑the‑loop checkpoints.
- Identify high‑leverage automation opportunities across the finance value chain and translate them into clear architectural blueprints, prototypes, and production roadmaps.
- Define standards for prompt engineering, tool integration, RAG, memory, and agent observability to ensure consistency and reliability across solutions.
- Partner with Engineering, IT, and Security to productionize agents—addressing identity, access, secrets management, audit logging, and change control.

AI/ML for FP&A; & Forecasting
- Design and implement machine learning models for revenue, expense, cash flow, and driver‑based forecasting, scenario modeling, and anomaly detection.
- Lead the evolution from traditional,



spreadsheet‑driven forecasting toward predictive and probabilistic approaches, including time‑series, hierarchical, and causal modeling techniques.
- Embed AI‑generated insights and narratives into the FP&A; planning cycle, partnering with FP&A; leaders to ensure outputs are interpretable, trusted, and actionable.
- Establish backtesting, model monitoring, drift detection, and performance benchmarks so that models remain accurate and credible over time.
- Champion experimentation: define hypotheses, run controlled pilots, and measure impact on forecast accuracy, cycle time, and decision quality.

Technical Leadership & Influence
- Serve as the senior‑most AI technical voice within Finance, setting technical direction, reviewing designs, and raising the bar on engineering quality across initiatives.
- Provide hands‑on prototyping and reference implementations that de‑risk new ideas and accelerate delivery for partner teams.
- Mentor and uplift finance analysts, FP&A; partners, and adjacent engineering teams on AI and ML concepts, patterns, and responsible use.
- Represent Finance in cross‑functional AI governance forums, contributing to enterprise AI strategy, standards, and reusable platform capabilities.

Responsible AI, Governance & Risk
- Establish and enforce responsible AI practices for Finance — including model risk management, bias and fairness reviews, explainability, and human oversight.
- Define evaluation frameworks and acceptance criteria for AI outputs used in financial decisions and reporting contexts.

📌 Senior Finance Automation Architect (Toronto)
🏢 Flipp
📍 Toronto