Intern, AI Enablement
Sagard
Job Overview
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Job Description
Sagard Overview
Sagard is a multi-strategy alternative asset management firm active in venture capital, private equity, private credit and real estate. Sagard also engages in private wealth management through Sagard Wealth. Founded in 2016 and guided by the core values of entrepreneurship, innovation, collaboration, rigour and authenticity, Sagard has experienced outstanding growth. Today, the firm has more than US$32 billion under management, 190 portfolio companies and 440 professionals. Sagard is well positioned to continue to grow substantially, organically and inorganically, pursuing its vision of becoming one of the best-performing investment management firms. Headquartered in Canada, Sagard currently has offices in Canada, the United States, Europe and the Middle East.
More at https://www.sagard.com/.
AI Team Overview
Sagard is becoming an AI-first organisation. AI is expected to automate low-value work and materially improve how investment decisions are made. We’re hiring a technical, delivery-focused Intern, AI Enablement for a 6-8 month term located in Toronto, Ontario. You'll partner with investment and business teams to discover opportunities, build fast prototypes, and drive adoption.
Compensation
CAD$80,000 per year
What You'll Do
- Develop prompts, workflow automations, and lightweight applications
- Build and support integrations using low-code and high-code tools
- Evaluate third-party tools for fit within our enterprise architecture
- Ensure solutions meet best practices for security, access, and responsible use
- Track outcomes - usage, time saved, feedback - and iterate accordingly
- Monitor AI trends and experiment with emerging capabilities
What You Bring
- Bachelor’s degree in Computer Science or equivalent (or near completion)
- Hands-on experience building and deploying applications with GenAI tools and LLMs
- Solid fundamentals in Python or TypeScript, APIs, Git, and basic cloud platforms
- Clear communication and facilitation skills, especially with non-technical colleagues
- Comfort working in ambiguity - scrappy, curious, and biased toward “good-enough” over perfect, with a creative approach to problem solving
- A growth mindset and collaborative spirit, with a passion for enabling others, sharing learnings, and fostering a culture of experimentation
Why Join Us
You’ll be part of a small, entrepreneurial team shaping how Sagard works. You'll contribute to high-impact initiatives, experiment with cutting-edge tools, and gain hands-on experience - all while building real solutions that ship. We're looking for a builder, enabler, and evangelist ready to make AI real inside a fast-growing investment firm. Sagard is an equal opportunity employer, which values diversity in the workplace. We are therefore happy to accommodate any individual. If you require accommodation in order to participate in the hiring process, please contact the People & Culture team to make your needs known in advance. Sagard may use automated tools, including artificial intelligence, to support certain stages of the recruitment and selection process.
Key skills/competency
- Generative AI
- Large Language Models (LLMs)
- Python
- TypeScript
- API Integration
- Git
- Cloud Platforms
- Workflow Automation
- Prototyping
- Enterprise Architecture
How to Get Hired at Sagard
- Research Sagard's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor, focusing on entrepreneurship, innovation, and collaboration.
- Tailor your resume: Highlight hands-on experience with GenAI tools, LLMs, Python/TypeScript, API integrations, and application deployment relevant to AI enablement.
- Showcase problem-solving: Prepare examples demonstrating comfort with ambiguity, a scrappy approach, and creative solutions to complex challenges in past projects.
- Demonstrate a growth mindset: Emphasize your passion for enabling others, sharing learnings, and fostering a culture of experimentation in a team environment.
- Prepare for technical questions: Be ready to discuss your knowledge of cloud platforms, Git, and how you ensure security and responsible use in AI solutions.
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