
Generative AI, RD and Innovation Manager, Deloitte Global Technology
- Toronto, ON
- 85.000-156.000 $ par an
- Permanent
- Temps-plein
Work Model: Remote
Reference code: 129596
Primary Location: Toronto, ON
All Available Locations: Toronto, ONOur PurposeAt Deloitte, our Purpose is to make an impact that matters. We exist to inspire and help our people, organizations, communities, and countries to thrive by building a better future. Our work underpins a prosperous society where people can find meaning and opportunity. It builds consumer and business confidence, empowers organizations to find imaginative ways of deploying capital, enables fair, trusted, and functioning social and economic institutions, and allows our friends, families, and communities to enjoy the quality of life that comes with a sustainable future. And as the largest 100% Canadian-owned and operated professional services firm in our country, we are proud to work alongside our clients to make a positive impact for all Canadians.By living our Purpose, we will make an impact that matters.
- Have many careers in one Firm.
- Enjoy flexible, proactive, and practical benefits that foster a culture of well-being and connectedness.
- Learn from deep subject matter experts through mentoring and on the job coaching
- Research & Innovation: Conduct research on the latest generative AI models, tools, and techniques to identify opportunities for innovation and improvement in Deloitte’s internal services.
- Platform Change Documentation: Track and document updates to core generative AI platforms—such as feature releases, new integrations, and deprecations—and clearly communicate these changes to internal teams. Develop and maintain detailed release notes, FAQs, and knowledge-base articles to ensure all users have up-to-date information and best practices for adopting new capabilities.
- Prototype Development: Develop and test proofs of concept (POCs) and prototypes using Python and AI/ML frameworks (e.g., LangChain, Hugging Face Transformers, OpenAI APIs) to demonstrate the potential of generative AI solutions.
- Prompt Engineering & Evaluation: Apply prompt engineering methods and evaluate model outputs to optimize performance and ensure the quality, relevance, and safety of generative AI results for various use cases.
- Workflow & UX Design: Collaborate with cross-functional teams to design intuitive user workflows that integrate GenAI tools into internal applications, ensuring a smooth and effective user experience.
- Documentation: Document development processes, experiment results, and best practices in clear, accessible formats to build a knowledge base and support knowledge transfer across the organization.
- Training & Enablement: Create and deliver training materials – including presentations, how-to guides, and tutorial videos – to educate and upskill internal teams on GenAI technologies and their effective use.
- Strategic Collaboration: Work closely with the Senior Manager to plan and prioritize innovation initiatives, aligning technical projects with broader business strategy and goals.
- Continuous Learning: Stay up-to-date with industry trends and advancements in AI, and proactively propose new ideas or pivot projects as needed to keep Deloitte at the cutting edge of generative AI.
- Minimum 5+ years (Senior Consultant) or 7–10 years (Manager) of relevant experience in software development, data science, or AI/ML roles. (Manager-level candidates should demonstrate some team or project leadership experience.)
- Generative AI Expertise: Hands-on experience with generative AI tools and large language models. Proficiency with frameworks and libraries such as LangChain, Hugging Face Transformers, and OpenAI APIs is required.
- Programming Skills: Strong programming skills in Python, with experience building prototypes or applications leveraging AI/ML libraries.
- Prompt Engineering: Practical knowledge of prompt engineering techniques and experience evaluating and tuning AI model outputs for quality and accuracy.
- User-Centric Mindset: Familiarity with designing user experiences or workflows that involve AI-powered tools, ensuring solutions are intuitive and effectively meet user needs.
- Strategic Problem Solving: Excellent problem-solving abilities and strategic thinking skills to translate business problems into AI solutions and to align technical work with business objectives.
- Communication & Documentation: Strong written and verbal communication skills. Ability to document technical work clearly and present complex ideas to both technical and non-technical audiences.
- Adaptability: Self-motivated and able to work independently. Proven ability to manage multiple priorities and adapt to changing requirements in a fast-evolving environment.