Presales Solutions Architect

Overview

We are seeking a highly skilled Presales Solutions Architect with deep experience applying AI/ML in the Financial Services Industry (FSI) to support our sales organization in designing, positioning, and shaping next‑generation cloud and data solutions for banking, insurance, wealth, and capital markets clients. This role blends advanced technical architecture expertise with industry‑specific knowledge of financial regulation, risk, and operational resiliency.

As a cloud‑agnostic and AI‑driven technical advisor, you will help FSI organizations modernize legacy systems, responsibly adopt AI/ML, strengthen risk and fraud capabilities, and accelerate cloud transformation across regulated environments.

Primary

Location:

Toronto, ON

Work Model: Hybrid 3-Days Onsite

Employment Type: Permanent Full-Time

Vacancy Status: New

Compensation Range: $200,000 - $300,000

• Partner with Financial Services sales executives to understand client priorities around digital transformation, AI adoption, regulatory compliance, operating efficiency, and risk mitigation
• Conduct discovery sessions focused on identifying opportunities for AI/ML‑enabled use cases, including fraud detection, risk scoring, underwriting optimization, client segmentation, conversational AI, and predictive analytics
• Develop and deliver compelling presentations, demos, and technical workshops showcasing how cloud‑based AI/ML solutions can unlock business value while meeting regulatory and security obligations
• Develop high‑level architectures for cloud, data, AI/ML, and application modernization initiatives tailored to FSI workloads such as:
• Real‑time fraud and anomaly detection
• Credit risk and stress testing models
• Anti‑Money Laundering (AML) and KYC analytics
• Customer 360 and personalization engines
• Claims automation and actuarial modeling
• Recommend secure, compliant, scalable architectures aligned with FSI regulatory frameworks (OSFI, PCI‑DSS, SOC 2, GDPR, etc.) including data residency, encryption, model governance, and responsible AI practices
• Provide technical guidance on machine learning pipelines, data lakehouse architectures, vector databases, model deployment patterns, and cloud‑native AI services (Azure ML, Amazon Sage Maker, Vertex AI)
• Estimate solution complexity, infrastructure sizing, model training needs, and cost implications for AI/ML workloads
• Support RFPs/RFIs with data and AI‑specific solution designs, use‑case mappings, and technical narratives targeted for banking and insurance buyers
• Collaborate with practices and delivery teams to validate feasibility of proposed AI/ML solutions, including data readiness, lineage, model observability, and operationalization
• Develop reusable assets such as AI/ML demo environments, FSI‑specific reference architectures, model governance frameworks, and accelerator kits
• Stay current with AI regulatory developments (Responsible AI, model risk management, AI governance), cloud platform updates, and emerging trends in financial AI adoption
• Serve as a thought leader for clients and internal teams on modern data architecture, applied machine learning, and responsible AI in the financial sector

• 5+ years in a technical role such as Solutions Architect, AI/ML Architect, Cloud Architect, or Sales Engineer, ideally supporting Financial Services clients
• Hands‑on experience designing and advising on AI/ML solutions—including feature engineering, model training, MLOps pipelines, data engineering, and operationalization within regulated industries
• Strong understanding of cloud‑agnostic architecture principles across Azure, AWS, or GCP, with specific experience implementing AI/ML capabilities using cloud‑native services
• Experience designing AI‑enabled financial solutions such as:
  • Fraud & risk prediction models
  • AML/KYC analytics
  • Personalized recommendation engines
  • Insurance pricing and underwriting models
  • Financial forecasting and anomaly detection
• Deep understanding of data governance, model governance (MRM), responsible AI, and regulatory considerations in FSI
• Strong communication and storytelling skills with the ability to translate complex AI/ML concepts into meaningful business…