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AI Solutions Architect

  • Toronto, ON, Canada
  • Greater Toronto Area, Canada, Canada

$180,000 to $185,000 CAD / year · Full-time

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Job details

Pay
$180,000 to $185,000 CAD / year
Job type
Full-time
Apply by
Experience
8+ years of progressive experience in enterprise architecture, solution architecture, AI, data, or related technology leadership roles
Posting language
English
Posted

Original job description

Location: Toronto, ON, On-site (5 days per week)

Language: Excellent written and verbal English communication skills

Successful completion of criminal, credit, employment, education, credential, identity, and professional reference checks is required. Background checks are completed in parallel during the recruitment process.

About the Opportunity

An established global financial services organization is investing in the future of enterprise AI and is looking for a senior technical leader to help shape that journey. Reporting to the VP of AI Product, you will play a foundational role in designing and delivering scalable AI solutions that move from concept to production, while helping build a high-performing AI function from the ground up.

This is an opportunity for someone who enjoys being hands-on, solving complex technical challenges, and influencing enterprise-wide AI strategy. You'll work closely with product, engineering, data, security, and business leaders to architect innovative solutions that support advanced analytics, machine learning, GenAI, and intelligent automation initiatives.

What's In It for You

  • Competitive base salary from $185,000, with flexibility for exceptional candidates
  • Annual performance bonus targeted at 25% to 30%
  • Comprehensive benefits starting on your first day
  • RRSP contribution of 6% and four weeks of paid vacation
  • Opportunity to help build a new enterprise AI capability alongside experienced technology leaders
  • Exposure to leading cloud technologies and innovative AI initiatives within a collaborative, high-performing environment

Your Responsibilities

  • You'll lead the design of enterprise AI solution architectures that align business objectives with scalable, secure, and governed technology solutions.
  • Remain deeply involved in solution delivery, creating architecture designs, guiding implementation, and supporting production deployments.
  • Define architecture patterns for GenAI, retrieval-augmented generation (RAG), agent-based AI, and advanced analytics solutions.
  • Partner with cross-functional stakeholders to shape roadmaps, technology decisions, and enterprise architecture standards.
  • Provide technical leadership across cloud platforms, data ecosystems, integration patterns, and AI governance practices.
  • You'll champion responsible AI, security, compliance, resiliency, and operational excellence throughout the solution lifecycle.

Skills and Qualifications

  • 8+ years of progressive experience in enterprise architecture, solution architecture, AI, data, or related technology leadership roles
  • Proven experience delivering AI, machine learning, GenAI, or advanced analytics solutions into production environments
  • Hands-on experience with Databricks, Snowflake, cloud platforms, APIs, and enterprise integration patterns
  • Strong knowledge of retrieval-augmented generation (RAG), agent-based workflows, MLOps, and AI solution architecture
  • Experience within financial services, capital markets, wealth management, or another highly regulated industry
  • Exceptional stakeholder management skills with the ability to translate business priorities into scalable technical solutions
  • Demonstrated ability to thrive in fast-paced, evolving environments where building while delivering is part of the journey

Why Partner with Altis

If you’ve never worked with a staffing agency before, we make it easy. We work with top employers across Canada who have great jobs to fill, each vetted and verified by our team. When you apply for a job with Altis, we get to know you as a candidate and learn what your strengths are. Then, if you’re a solid match, we handle all the logistics, advocating for you as a candidate for the role, providing access to coaching and connecting you directly with the hiring manager. And rest assured, all our services are free of cost for candidates.

More about this job

Responsibilities

Design and deliver secure, scalable enterprise AI architectures, including solutions for generative AI, retrieval-augmented generation, agent-based AI, and advanced analytics. Guide implementation and production deployments while shaping technology roadmaps, architecture standards, AI governance, and responsible AI practices with cross-functional teams.

Requirements

Requires 8 or more years of progressive experience in enterprise or solution architecture, AI, data, or related technology leadership, with proven delivery of AI, machine learning, generative AI, or analytics solutions into production. Candidates should have hands-on experience with Databricks, Snowflake, cloud platforms, APIs, and enterprise integration, strong knowledge of RAG, agent-based workflows, and MLOps, and experience in financial services or another regulated industry.

Skills

  • Enterprise AI Architecture
  • Solution Architecture
  • Artificial Intelligence
  • Machine Learning
  • Generative AI
  • Retrieval-Augmented Generation
  • Agent-Based AI
  • Databricks
  • Snowflake
  • Cloud Platforms
  • APIs
  • Enterprise Integration
  • MLOps
  • AI Governance
  • Stakeholder Management
  • Advanced Analytics

Benefits

  • Performance Bonus
  • Comprehensive Benefits
  • RRSP Contribution
  • Four Weeks Of Paid Vacation

Visa sponsorship

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Categories

  • Technology
  • Data & Analytics
  • Software
  • Management & Leadership
  • Finance & Accounting

Keywords

  • Enterprise AI
  • Solution Architecture
  • Artificial Intelligence
  • Machine Learning
  • Generative AI
  • Retrieval-Augmented Generation
  • Agent-Based Workflows
  • Advanced Analytics
  • Databricks
  • Snowflake
  • Cloud Platforms
  • APIs
  • MLOps
  • AI Governance
  • Responsible AI
  • Security
  • Compliance
  • Resiliency
  • Production Deployment
  • Data Ecosystems
  • Financial Services
  • Capital Markets
  • Wealth Management
  • Enterprise Architecture Standards

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