About the company
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal AI Systems & Operations Technologist based in Canada.
Responsibilities
- Design, develop, and deploy AI-powered workflows, agentic systems, RAG solutions, operational automation platforms, and internal productivity tools.
- Develop and maintain modern software solutions across multiple enterprise application and kiosk ecosystems, applying strong engineering and architectural practices.
- Build and maintain integrations between applications, REST APIs, databases, cloud services, payment platforms, and third-party technologies.
- Identify automation opportunities with leadership and translate them into scalable solutions that improve operational efficiency, customer outcomes, and business performance.
- Serve as a senior technical resource during customer meetings, enterprise architecture discussions, partner assessments, and proof-of-concept initiatives.
- Create technical demonstrations, ROI models, implementation frameworks, and migration strategies that support commercial growth and customer adoption.
- Support deployment, fulfillment, onboarding, and support teams through diagnostics, automation, telemetry, and operational tooling.
- Contribute to architecture reviews, technical debt reduction, quality initiatives, CI/CD improvements, platform modernization, and AI-augmented development practices.
- Partner with research and development leadership to evaluate technical priorities, architectural direction, and product roadmap initiatives.
- Provide senior-level technical guidance to development teams and help resolve complex engineering, software, and integration challenges.
- Contribute hands-on to coding, code reviews, system design, testing strategies, and modernization initiatives.
- Support AI governance, technical training, runbooks, and organizational adoption programs.
- Lead initiatives and influence technical outcomes while operating effectively without formal supervisory authority.
- Take on additional technical and operational responsibilities as business needs evolve.
Requirements
- 8+ years of progressive experience in software engineering, systems architecture, solution development, or a closely related technical discipline.
- Strong hands-on experience with Python, SQL, REST APIs, system integrations, and enterprise application development.
- Practical knowledge of AI technologies, including large language models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), and AI orchestration frameworks.
- Experience with C#, .NET, Java, cloud-hosted applications, or comparable enterprise technologies.
- Strong understanding of software architecture, application integrations, cloud environments, APIs, and modern development practices.
- Demonstrated ability to translate business objectives into practical technical solutions with measurable business value and ROI.
- Experience operating as a senior individual contributor within a software product development organization.
- Excellent communication and stakeholder-management skills, with the ability to work effectively with executives, customers, partners, engineers, and cross-functional teams.
- Strong analytical and problem-solving capabilities, particularly when addressing complex technical and integration challenges.
- Demonstrated ability to influence technical decisions, mentor peers, lead initiatives, and drive outcomes without direct management authority.
- Experience with SaaS platforms, operational automation, sales engineering, or solution consulting is an asset.
- Familiarity with tools and technologies such as Retool, Power Automate, LangChain, LangGraph, or MCP-enabled tooling is preferred.
- Experience with kiosk, endpoint, or other specialized enterprise technology environments is an advantage.
Conditions
- Salary: $85,000–$100,000 USD per year.
- Work arrangement: Fully remote, full-time position.
- Career development: Opportunities to work with emerging AI technologies and modern enterprise software architectures.
- Learning: Access to opportunities for technical growth, experimentation, and professional development.
- Impact: Ability to influence AI adoption, automation, product modernization, and operational efficiency at enterprise scale.
- Culture: Collaborative, supportive, and innovative work environment.
- Employee experience: A workplace designed to give employees autonomy and opportunities to make a meaningful difference.
- Stability: Opportunity to join a financially established organization with a broad international presence.
- Additional benefits: Comprehensive benefits package and additional employee perks.