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- $140,000–$175,000 a year
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STAFF ENGINEER - HYBRID
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Bachelor's or Master's degree in Computer Science, Computer Engineering, Software Engineering, a related field, or equivalent practical experience.
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AI Cloud Architect

Architech -
Toronto, ON

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Job details

Full-time
$140,000–$175,000 a year

Qualifications

CI/CD
Pre-sales stakeholder presentations
Pre-sales solution discovery
Data integration
Azure
Go
Computer Science
Container orchestration
PCI
React
Infrastructure as Code (IaC)
Engineering
Post-secondary education
Mathematics
Google Cloud Platform
Technical product demonstrations
.NET
Java
AWS
Containerization
Requirements analysis
ISO 27000
RabbitMQ
Angular
APIs
Agile
Kafka
Client consultation
Solution architecture
AI
Software development or architecture experience
Communication skills
Python
Pre-sales
Client interaction
Technology sales

Full job description

Shape the AI systems companies actually run on. Design secure, scalable cloud architectures that bring RAG, agentic AI, LLMs and modern cloud platforms into real operations.

Join Us in Building the Future
At Architech, we don’t just ship software. We partner with North America’s leading brands to modernize legacy platforms, embed AI into real operations, and launch digital products that transform business outcomes. Our engineers and designers harness cloud-native tools, autonomous agents, data-driven insights, and GenAI to drive measurable impact - replatforming systems in the cloud, optimizing customer journeys, or accelerating AI adoption across the enterprise. You’ll work at the intersection of strategy and execution, solving complex problems alongside smart, curious teammates across Canada and Poland. Backed by 20+ years of experience, a drive for excellence, and a culture rooted in growth and collaboration, this is where you thrive if you’re looking to deliver meaningful, high-stakes software solutions.

We’re Building a More Inclusive Tech Industry
We believe diversity leads to better outcomes. Nearly half of our team was born outside of Canada, and we speak 19+ languages. We’re 31% women, 57% BIPOC, and 14% LGBTQIA+. We’ve doubled the number of women in tech roles in the past year, and maintain a 0% gender pay gap across our delivery and technology teams. Inclusion here isn’t a buzzword, it’s backed by data, policy, and accountability.

How We Work Together
We’re a close-knit, collaborative group who care about doing excellent work, and doing it with integrity. Our values shape how we show up every day:

Think Big – Dream it, plan it, ship it
Be Open & Collaborate – Diverse minds build better solutions
Never Fail a Client – Own the outcome
Grow Our People – Feedback, learning, leadership
Do the Right Thing – Even when it’s hard
Embrace Change – Adapt fast, stay curious

Our people say it best: “Employees of different backgrounds interact well within our company” - and 97% agree. Another 96% say “Architech respects individuals and values their differences.” We support continuous growth with learning budgets, internal bootcamps, certification bonuses, summit days, and more. It’s not just work - it’s a place to grow, lead, and build things that matter. And this is just the beginning. Check out all our other great benefits.

Key Responsibilities

Design and implement solution architectures that satisfy client requirements, with a strong focus on AI-enabled and cloud-native applications.
Design AI-enabled workflows such as chatbots, search, summarization, and automation.
Leverage RAG (retrieval-augmented generation), agentic AI patterns, vector databases, and enterprise search in applied solutions.
Orchestrate multi-service AI solutions that combine LLMs, APIs, and cloud services.
Guide clients and teams through cloud modernization projects, supporting migrations and adoption of cloud-native practices.
Understand data security and residency requirements, addressing client concerns around sensitive data in AI-enabled systems.
Ensure solutions comply with security and regulatory standards while managing technical risks across architectures.
Support Services teams during delivery by addressing architectural questions as projects evolve and refining designs when new requirements or complexities emerge.
Build prototypes and participate in demos with clients to showcase how AI and cloud can add value.
Create solution diagrams and architectures for client decks to support pre-sales discussions.
Partner with clients in pre-sales support: participate in meetings, capture requirements, and collaborate with the sales lead.
Communicate architectural decisions clearly to both business and technical audiences.
Balance functional and non-functional requirements, ensuring secure, scalable, and maintainable solutions.
Support scoping and estimation for solutions across multiple industries, validating requirements with internal and external stakeholders.
Collaborate closely with technical leads, developers, designers, strategists, and project managers to deliver high-quality solutions.
Leverage Architechs cloud and technology partners to strengthen solution proposals.
Work directly with mid-sized and enterprise clients, ensuring solutions align to their scale, security, and business needs.
Embrace and contribute to the achievement of Architechs sustainability goals relating to Good Health & Well-being, Quality Education, Gender Equity, and Reduced Inequalities.

Salary range: 140 000 - 175 000 CAD

What Were Looking For

6+ years of hands-on experience designing and delivering software solutions.
Post-secondary education in Computer Science, Math, or Engineering (or equivalent experience).
Experience designing AI-enabled workflows (chatbots, search, summarization, automation).
Knowledge of RAG, agentic AI patterns, vector databases, and enterprise search.
Experience orchestrating multi-service AI solutions.
Strong understanding of cloud-native design and modern architectural patterns.
Experience guiding organizations through cloud modernization initiatives, from legacy migrations to greenfield cloud adoption.
Solid understanding and experience with containers and orchestration (Kubernetes preferred).
Solid understanding and experience with data integration concerns, and platforms such as Apache Kafka, ActiveMQ, or RabbitMQ.
Experience working with major cloud platforms (Azure and GCP strongly preferred, AWS an asset).
Ability to integrate AI services into solutions using platforms like Azure AI, Google Vertex AI, AWS Bedrock, or third-party APIs.
Hands-on experience with at least one major programming language (Java, .NET, Python, JavaScript, or Go).
Knowledge of automation principles (CI/CD, infrastructure as code).
Strong awareness of monitoring, logging, and security in cloud-based environments.
Excellent communication skills: able to support client-facing discussions with confidence, without needing to lead them.
Team-first mentality, able to collaborate across disciplines without direct management responsibilities.
Adaptability to changing project requirements and evolving AI technologies.
Curiosity for AI and eagerness to learn as the industry shifts and new capabilities emerge.
Practical experience with Agile methodologies.

Nice to Have

Experience with threat modeling for AI pipelines and awareness of emerging risks such as prompt injection and data leakage.
Familiarity with responsible AI practices, including fairness, bias checks, and explainability frameworks.
Exposure to front-end frameworks (React or Angular) for prototyping solutions.
Prior experience building client demos or prototypes to showcase solution designs.
Experience with Infrastructure-as-Code (IaC) for automated deployments, secure network design (VPC/private endpoints), and robust secrets management.
Familiarity with the Cloud Adoption Framework (CAF) and Well-Architected Framework (WAF).
Knowledge of regulatory compliance standards such as NIST, ISO 27000, HIPAA, and PCI DSS.

Architech is an equal opportunity employer committed to diversity. Should you require any accommodations prior to or during the interview process, please indicate this during the interview process. We strongly encourage applications from racialized people, people with disabilities, people from gender and sexually diverse communities and/or people with intersectional identities.

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