Solutions Architect

Position: Solutions architect

Location: Toronto, On (Onsite)

Employment Type: Full-Time

Experience Required: 10 + Years

Position Overview:

We are seeking an experienced Solutions Architect to design and deliver scalable, secure, and cloud-native enterprise solutions. The ideal candidate will work closely with business stakeholders, product teams, and engineering teams to define architecture strategies, drive technology modernization, and ensure high-quality solution delivery.

Key Responsibilities:

• Develop deep working knowledge of operational workflow and document management technologies using both current industry tooling and emerging agentic solutions
• Design solutions that bring the business vision to life while maintaining reliability as capabilities and user base expands
• Partner closely with delivery teams to evolve the technical roadmap for products
• Ensure safe adoption of technology that protects our clients and the organization, considering traditional security best practices and emerging threats
• Build relationships with product owners and delivery leads to understand business needs and find creative ways to solve them
• Analyze options to meet business needs and to meet rigorous safety and performance standards
• Present solutions to business partners and governance forums for feedback and approval
• Provide technical leadership throughout the lifecycle of a solution

Required Skills:

• 6+ years as an architect OR proven strong technical leadership transitioning to architecture
• Ability to communicate effectively with business and technology partners and the curiosity to develop fluency in the Operations business domain and expertise in the technology that supports them
• Demonstrated ability to learn quickly and adapt to new technology and business strategy
• Demonstrated expertise designing distributed systems, APIs, and cloud solutions
• Messaging systems and event-driven architecture knowledge
• Strong experience with cloud infrastructure (Azure, AWS, or GCP)

Nice-To-Have:

• Exposure to agentic AI architectures, LLM deployment patterns, or enterprise AI governance frameworks
• Exposure to workflow and document management technologies
• Experience operating in financial services or similarly complex regulated enterprise environment