2 дня назад
Forward Deployed AI Engineer (AI)
145 000 - 170 000CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Forward Deployed AI Engineer (AI): Building production AI tools for Operations, Finance, Human Resources, Legal, and other internal functions with an accent on LLM applications, retrieval, agentic workflows, and workflow automation. Focus on translating ambiguous business problems into scalable solutions, evaluating build-versus-buy trade-offs, and measuring adoption and ROI.
Location: Toronto, Ontario, Canada — hybrid, with 3 days per week in the office
Base salary: CAD $145,000–$170,000 per year, excluding annual bonus and equity where applicable.
Company
Banyan Software acquires and grows specialized software businesses worldwide, supporting portfolio companies with shared AI expertise and operational discipline.
What you will do
- Embed with Operations, Finance, Human Resources, Legal, and other functions to understand systems, KPIs, workflows, and pain points.
- Identify and prioritize high-value AI opportunities based on impact, effort, and risk.
- Prototype and ship AI-native applications using LLMs, retrieval, agentic workflows, and AI-assisted development tools such as Claude Code.
- Build bespoke applications on AWS and evaluate build-versus-buy trade-offs, including automation and orchestration platforms such as n8n.
- Translate business needs into technical requirements, define success metrics, and build credible ROI cases for non-technical stakeholders.
- Drive adoption, train users, measure post-launch impact, and share effective patterns across the Technology & Data Strategy team.
Requirements
- 6–10 years of experience across software engineering, analytics, strategy, finance, or product, including at least 3 years of hands-on AI or AI-enabled application development.
- Bachelor’s degree in a quantitative, business, or technical field.
- Production experience shipping LLM applications, retrieval systems, or agentic workflows from prototype to real users.
- Hands-on experience with n8n or a comparable automation platform, AWS application development, GitHub pull requests, testing, infrastructure as code, CI/CD, monitoring, staged rollouts, and rollback practices.
- Strong SQL, data modeling, Excel, modern BI tools, and the ability to work with messy real-world data.
- Strong financial and commercial judgment, plus the ability to communicate technical decisions clearly to non-technical stakeholders.
Nice to have
- Master’s degree.
- Forward-deployed engineering, solutions engineering, hands-on consulting, or production AI experience in real business environments.
Culture & Benefits
- Work within a permanent-capital software group with more than 100 portfolio companies across North America, the UK, EU, and APAC.
- Contribute to AI modernization across multiple internal business functions.
- Join an inclusive workplace committed to equal employment opportunities.
- Annual bonus and equity may be available in addition to the stated base salary.
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