17 Oct
|
Intact
|
Mississauga
17 Oct
Intact
Mississauga
At Intact, there are opportunities everywhere to thrive. We’re committed to supporting your journey to take on unique challenges and try new careers, while providing a Total Rewards offering anchored around your well-being. It’s all part of our Employee Promise to help you grow with us.
Salary for the employee will be determined taking into consideration a number of factors including experience, skills, qualifications, anticipated contribution to role, internal equity, etc. The salary range presented below is based on a 35-hour workweek and would represent a majority of different employee profiles. However, we encourage employees who may fall outside of this range to apply as well.
Salary range (but not limited to):
128,300 - 156,800
Annual bonus target, based on the base salary, with a potential payout of up to double the target (subject to personal and company performance):
15%
About the role
We're looking for a Senior Solution Data & AI Architect to join our growing team!
Why join us?
We believe great architecture is about much more than technology. It's about enabling innovation, empowering teams, solving meaningful business problems, and building platforms that scale for the future.
As a Senior Solution Data & AI Architect, you'll work with talented engineering teams, data scientists, and business leaders to shape the next generation of data and AI capabilities. You'll have the opportunity to influence strategic decisions, explore emerging technologies, and help transform ambitious ideas into production-ready solutions that deliver real business value.
If you're passionate about AI, cloud platforms, modern architecture, and helping teams succeed, we'd love to meet you.
What you'll do here:
Design architecture that delivers business value:
- Lead the architecture and design of Data, AI, and GenAI solutions supporting strategic business initiatives.
- Create solution architectures, architecture blueprints, design patterns, and implementation roadmaps that guide delivery teams from concept to production.
- Ensure architectures are scalable, secure, resilient, and aligned with enterprise technology standards.
- Translate business requirements into practical, actionable solution designs.
Shape the evolution of our Data & AI platforms:
- Drive adoption of modern architectural approaches including cloud-native, event-driven, API-first, and serverless patterns where appropriate.
- Design AI and machine learning architectures, orchestration, deployment, serving, monitoring, and governance capabilities.
- Help define reusable platform services,
reference architectures, and technical standards that accelerate delivery across multiple products.
- Assess emerging technologies, industry trends, and market solutions to identify opportunities that create business value.
Provide technical leadership across delivery teams:
- Partner closely with product, engineering, data, security, and platform teams to guide architecture decisions throughout the delivery lifecycle.
- Lead architecture discussions with senior technology and business leaders and help shape strategic technology decisions.
- Facilitate architecture reviews and provide architectural oversight for complex initiatives.
- Help teams navigate technical trade-offs, dependencies, risks, and implementation challenges.
- Promote engineering excellence and architectural consistency while enabling teams to innovate.
Drive architecture practices and standards:
- Contribute to architecture governance, principles, standards, and best practices across the Data and AI ecosystem.
- Foster alignment across multiple product teams through reusable patterns, reference architectures, common services, and shared architectural approaches that accelerate delivery while reducing complexity.
- Lead technology assessments, proof of concepts, and build-versus-buy evaluations to support strategic technology decisions and platform investments.
- Perform risk assessments and build-versus-buy analyses and provide recommendations to stakeholders.
Mentor and influence:
- Coach and mentor architects, engineers, and technical leaders.
- Advocate for architecture quality, simplicity, maintainability, and operational excellence.
- Build strong partnerships across teams and help create a collaborative architecture community.
- Act as a trusted advisor who can challenge assumptions and guide teams toward better outcomes.
What you bring to the table:
Experience:
- 10+ years of experience in Solution Architecture, Data Architecture, Application Architecture, or related technology leadership roles.
- Proven experience designing and delivering enterprise-scale data-driven solutions in cloud environments.
- Track record of successfully leading architecture for complex,
cross-functional initiatives.
- For candidates located in Quebec, bilingualism is required considering the necessity to interact on a regular basis with English-speaking colleagues across the country.
- No Canadian work experience required however must be eligible to work in Canada.
Data & AI architecture expertise:
- Experience designing modern Data and AI architectures
- Strong understanding of data platform architecture, data integration patterns, and large-scale data processing.
- Experience defining architecture patterns for AI and ML solutions, including experimentation, deployment, monitoring, and operationalization.
- Familiarity with GenAI architectures, orchestration frameworks, retrieval patterns, AI agents, and model integration approaches.
- Experience with AWS SageMaker, AWS Bedrock, AWS Bedrock AgentCore, Databricks, Apache Iceberg, LangChain and LangGraph, Snowflake.
Cloud and engineering foundations:
- Robust knowledge of AWS cloud services and cloud-native architecture patterns.
- Experience with event-driven architectures, APIs, microservices, and distributed systems.
- Experience with Infrastructure as Code, DevSecOps, MLOps, observability, and automation practices.
Leadership and collaboration:
- Strong communication and stakeholder engagement skills.
- Strong experience working with Agile product and delivery teams.
- Natural collaborator who enjoys mentoring others and building consensus around architectural direction.
- Ability to influence technical decisions across multiple teams and organizational boundaries.
- Ability to balance business value, technical excellence, cost, risk, and delivery objectives.
At Intact, we value diversity and strive to create an inclusive, accessible workplace where all individuals feel valued, respected, and heard. If we can provide a specific adjustment to make the recruitment process more accessible for you, please let us know when we reach out about a job opportunity. We’ll work with you to meet your needs.
Click here to review other important information about the hiring process, including background checks, internal candidates, and eligibility to work in Canada.
Please note that Intact does not provide sponsorship or other support for immigration-related matters including but not limited to employer-specific closed work permits. Employees are solely responsible for ensuring they are eligible to work on the specified role and for maintaining their work eligibility.
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📌 Senior Solution Architect - Data & AI (Mississauga)
🏢 Intact
📍 Mississauga