AI and Cloud Architect

Architech

$140K — $175K *
US-AnywhereRemote in Toronto, ON
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 6+ years of hands-on experience in software design and delivery.
  • Post-secondary degree in Computer Science, Math, or Engineering, or equivalent experience.
  • Experience in designing AI-enabled workflows like chatbots and automation.
  • Familiarity with RAG, agentic AI patterns, and vector databases.
  • Strong understanding of cloud-native design and modern architectural patterns.
  • Experience orchestrating multi-service AI solutions across various platforms.
  • Solid hands-on experience with one major programming language (Java, .NET, Python, JavaScript, Go).

Responsibilities

  • Design and implement solution architectures focused on AI and cloud-native apps.
  • Create AI-enabled workflows like chatbots, automation, and search functionalities.
  • Leverage advanced AI techniques, including RAG and enterprise search in solutions.
  • Orchestrate complex, multi-service AI solutions integrating APIs and cloud technologies.
  • Support clients in cloud modernization projects and secure data handling.
  • Build prototypes and demonstrate solutions to clients, showcasing added value.
  • Collaborate cross-functionally to deliver high-quality, scalable solutions.

Benefits

  • Opportunities for professional growth in cutting-edge AI and cloud technologies.
  • Collaborative work environment with multi-disciplinary teams.
  • Involvement in projects supporting sustainability and social equity goals.
  • Access to advanced tools and cloud technologies for solution development.
  • Engagement with a diverse client base, from mid-sized to enterprise-level.
Full Job Description
Total compensation:

CAD $140,000 - $175,000

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 Architech's 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 Architech's sustainability goals relating to Good Health & Well-being, Quality Education, Gender Equity, and Reduced Inequalities.


What We're 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.
  • AZ-305: Azure Solutions Architect Expert Certification


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