AI Solution Architect designing Azure - based agentic and machine learning solutions for a Canadian financial institution. Translating business requirements into secure, scalable cloud architectures.
About the role
- Associate Solution Architect at Vena Solutions collaborating on cloud-based SaaS architecture and solutions. Engaging with cross-functional teams in a flexible working environment for real-world problem solving.
Responsibilities
- Partner with Product Management, domain experts, senior architects, and cross-functional stakeholders to support, evolve, and deliver solution architecture for cloud-based SaaS features and capabilities, including proof-of-concept initiatives to explore new enhancements.
- Collaborate with Engineering teams to design pragmatic solutions that balance functional requirements with performance, security, scalability, and maintainability throughout the development lifecycle, including technical problem solving and refactoring efforts.
- Participate in reviewing engineering designs and implementations to validate alignment with approved solution architecture, standards, and compliance expectations.
- Contribute to the creation and maintenance of clear, accurate architecture artifacts and decision records, ensuring solutions are well understood and traceable across stakeholders.
- Communicate architectural concepts and changes effectively, supporting engineers through design reviews, working sessions, and knowledge sharing alongside more senior architects.
- Participate in architecture governance activities, contributing to the application and adoption of standards, principles, policies, and best practices for the platform.
- Help ensure architectural recommendations are well reasoned, consistent, and aligned with platform strategy, compliance requirements, and long-term sustainability.
- Stay informed on industry trends, technologies, and architectural practices, actively learning and evaluating how solution patterns, blueprints, and delivery approaches can evolve.
- Leverage modern tooling, including AI-assisted research and analysis, to support architectural exploration, informed recommendations, and continuous improvement.
- Contribute to a culture of innovation by helping teams experiment responsibly, maintaining architectural quality, platform integrity, and customer trust.
Requirements
- 1–3 years of experience contributing to solution architecture, technical design, or complex system design within a software or SaaS environment.
- 4+ years in software development or related technical roles, including hands-on work with at least one modern programming language (e.g., Java, C#, JavaScript, or equivalent).
- Practical experience with front‑end and back‑end technologies (React, Node.js, Spring, or similar) and distributed systems concepts such as microservices and APIs (REST and GraphQL).
- Solid understanding of algorithms, data structures, computational complexity, and the ability to weigh and communicate design trade‑offs.
- Exposure to data‑driven systems, with knowledge of data modelling, data management, OLTP, and cloud‑based SaaS application design, including scalability and multi‑tenancy.
- Hands‑on experience implementing within Microsoft Azure and AWS cloud platforms using cloud-native patterns with a SaaS application.
- Experience using AI‑enabled development tools (e.g., GitHub Copilot, Claude, SpecKit, or similar) for coding, design, analysis, or documentation.
- Strong collaboration and communication skills with engineers, product managers, and technical stakeholders.
- Self‑motivated, growth‑oriented mindset with a curiosity for learning and problem‑solving, and empathy for customer outcomes.
- Interest in AI and openness to exploring AI‑driven solutions for performance enhancement and efficiency.
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