Lead the design, build, and deployment of agentic AI applications for finance clients, establishing technical foundations and standards for Clearsulting’s AI Services line.
Locations (2)
Toronto, Ontario, Canada
Ontario, Canada
Compensation
The compensation range for this position is $185,000 - 246,000 CAD. We are committed to ensuring our offers reflect the value each candidate brings to the role. Final salary placement will be based on upon several factors, including, level of expertise, relevant work experience, technology certifications, educational background, geography and alignment with industry standards. This role is eligible for our bonus program.
Responsibilities
Design, build, and deploy end-to-end agentic AI applications, including orchestration, APIs, backend services, user interfaces, and retrieval pipelines that ground AI outputs in trusted financial data and source documents.
Build Model Context Protocol (MCP) tools and integrations connecting agents to ERP systems, finance SaaS applications, reporting platforms, and enterprise data sources, with role-based access controls and audit trails.
Build and operate secure, monitored cloud environments for AI applications, using infrastructure as code, CI/CD, and appropriate identity, secrets management, and observability controls.
Implement deterministic guardrails, human approval gates, structured validation, and evaluation frameworks to assess agent accuracy, reliability, and compliance with client control requirements.
Establish reusable reference architectures, coding standards, evaluation patterns, and technical accelerators that support consistent delivery and the development of Clearsulting-owned intellectual property.
Requirements
Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
Nice to have: Claude Certified Architect credential
Mentors teams and leads the architecture of highly scalable, interdependent distributed systems, driving performance, reliability, security, and automation.
Compensation
CA: Hiring Range in CAD from: $123,900 to $203,600 per annum.
Responsibilities
Mentor teams in architecture and design of highly scalable distributed systems
Identify and remove performance and scalability bottlenecks
Define scalability requirements with stakeholders
Design elastic, high‑impact systems
Optimize resilience mechanisms such as load‑shedding, throttling, rate‑limiting
Lead and scale AWS cloud infrastructure, evolve Kubernetes pipelines, improve monitoring, alerting, and resiliency, and develop tooling for product teams.
Responsibilities
Design, build, and maintain infrastructure and platform services, including Kubernetes and observability tooling.
Implement infrastructure as code, configuration management, and automated testing to ensure reliable, repeatable environments.
Contribute to code and configuration reviews to improve scalability, maintainability, and reuse.
Monitor production systems, troubleshoot issues, and improve logging, monitoring, alerting, and runbooks.
Participate in on-call and help desk rotations, incident response, and post-incident reviews to improve long-term reliability.
Requirements
Bachelor’s or advanced degree in computer science, Computer Engineering, or a related field, or equivalent practical or demonstrated learning experience.
Lead the Infrastructure Security team to secure 1Password's cloud-native platform, driving strategy, execution, and partnership with engineering teams.
Locations (2)
United States
Canada
Compensation
The annual base salary for this role is between $230,000 USD and $334,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.
Responsibilities
Set strategic direction and priorities for Infrastructure Security
Own delivery end to end, aligned with Platform Security strategy
Define clear goals and metrics for progress
Lead delivery across concurrent workstreams in cloud security, identity and access management, and container security
Build, coach, and grow a team of security engineers
Designs and delivers software solutions that accelerate research workflows and enhance data analysis.
Compensation
The salary range for this position is: $125,300.00 - $208,800.00 Final compensation will be determined based on demonstrated experience, skills, location, and other relevant factors.
Responsibilities
Designs and delivers software solutions that accelerate research workflows and enhance data analysis.
Ensures the scalability, maintainability, and reliability of the systems developed.
Contributes to the technical vision within a project scope while aligning with the broader engineering strategy.
Translates requirements into high-quality, performant code.
Collaborates with peers, product managers, and scientists to ensure timely delivery.
Requirements
Bachelor’s degree in Computer Science, Engineering, or equivalent experience
Lead the design and implementation of cloud-native architecture for the Royal Canadian Navy Cloud component systems and Synthetic Training Hub, ensuring secure, scalable, and maintainable solutions.
Compensation
The posted salary reflects an employee compensation model; consultant rates will be adjusted accordingly. We will consider candidates for either employment or consultant arrangements.
Responsibilities
Develop Cloud-Native architecture for the Royal Canadian Navy Cloud component systems and the Synthetic Training Hub
Find or recommend Horizon or Synthetic Training Hub Open Source or Commercial components available as containers or from which containers can be built
Create Horizon and Synthetic Training Hub documentation including architectural diagrams, network traffic diagrams, firewall rulesets, swim-lane diagrams, and security control tables
Develop IaC Deployments for Navy Organizational infrastructure and Cloud component systems
Build TLA components from source and develop TLA Component containers for Horizon Kubernetes deployments
Requirements
Bachelor’s Degree from a Canadian University or recognized College Technical Diploma in Sciences, Engineering, Computer Science, or Mathematics
Lead the platform engineering organization to build and run a global platform for managing government ID and ID-enabled services, driving technical direction, delivery, reliability, security, and adoption.
Responsibilities
Set technical direction and review designs for Azure, Kubernetes/OpenShift and other cloud environments
Establish reusable deployment patterns and go-live standards using GitOps, CI/CD and infrastructure automation
Diagnose complex production failures and drive lasting fixes
Embed security gates, SBOMs, image signing, SAST/DAST and automated SOC 2/ISO 27001 evidence into delivery
Support spec-driven development and enhance agents for delivery, change preparation, incident triage, runbook automation, and human approval with audit trails
Requirements
Bachelor's degree in Computer Science, Engineering or a related field
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