AI Development Solution Engineering Specialist (Hybrid)

2 hours ago

Montréal, CanadaSenior

Responsibilities

Partner with business stakeholders to identify inefficient processes and determine whether agentic solutions are appropriate.
Design, build, and deploy production-grade agentic systems using firm platforms, the Claude Agent SDK, and MCP tooling.
Develop agent orchestration capabilities including task decomposition, tool integration, context management, state management, and long-running workflows.
Create AI system evaluation frameworks, test sets, performance metrics, and outcome measurements with business subject matter experts.
Design solutions balancing business value, technical complexity, maintainability, and operational support requirements.
Implement governance, compliance, auditability, human approval, policy enforcement, and traceable audit controls.
Support production systems through monitoring, observability, performance validation, scalability planning, and release readiness activities.
Contribute reusable frameworks, documentation, best practices, and technical guidance for AI adoption across engineering teams.

Bachelor’s or master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
At least 3 years of experience in software engineering, solution design, and application development.
Experience building and deploying AI-enabled or agentic applications for production use.
Strong proficiency in Python and in agentic coding tools such as Claude Code and Codex.
Working knowledge of tool or function calling, MCP, retrieval techniques, prompt management, and orchestration patterns.
Experience evaluating AI systems through automated testing, model-based assessment, regression testing, and test-set development.
Familiarity with production AI operations, including observability, tracing, reproducibility, cost management, and version control.
Experience with data engineering, SQL, and at least one non-relational or large-scale data store.
Experience with DevOps, CI/CD practices, Git-based repositories such as GitHub or Bitbucket, and data governance, privacy, and security requirements.
Knowledge of both French and English is required.
Must be located in Montreal, Quebec.

Hybrid work environment combining remote work with attendance in the Montreal office.
Comprehensive employee benefits and perks supporting employees and their families.
Opportunities for internal mobility across the business.
Equal opportunity and inclusion-focused workplace.

10,000+ employees