Responsible AI Adoption Lead
The Concordia Applied AI Institute (AI2) is a multi-disciplinary applied research unit representing more than 120 faculty members and their graduate students from the 4 Concordia University faculties. AI2 is a values-driven institute, committed to engaged leadership, caring for AI’s community and consequences, and responsive to public interest. We support AI that improves, rather than maintains, the status quo. Through workshops, panel discussions, publications, and other avenues, we facilitate meaningful engagement with issues related to AI governance and adoption.
Job description
As part of an AI Adoption team, you will be conducting research and implementing best practices in responsible AI throughout the entire cycle of technical development of AI-based solutions, from design to deployment. In addition, you will be working closely with engineers to develop AI applications that meet or exceed emerging global standards for responsible AI, as well as other tasks related to the position as outlined by the supervisor. You will monitor and report on developments in AI standards, policy, and regulation, and will represent the institute in key AI policy discussions. You will also be responsible for providing guidance on responsible AI practices to external partners through reports and workshops.
Application deadline: December 3, 2024
Position start date: January 13, 2025
Position end date: January 12, 2026
Salary: $70,000 – $80,000 per year
Hours per week: 35 (hybrid work schedule – 3 days in office)
Work environment
The AI Adoption team is an interdisciplinary R&D team composed of engineers and social scientists, both full-time professionals and research assistants from the Concordia community. We collaborate with faculty members from Concordia University that provide guidance and expertise for our projects. We work closely with and develop AI-based solutions for various industries, non-for-profit organisations, and government stakeholders. Our team follows agile methodology with daily stand-up meetings within a smaller group, and a weekly sprint review and planning meeting with the whole team. We hold day-long hackathons 2-3 times a year as opportunities for collective knowledge sharing, brainstorming, and coding together. You will coordinate as a team to establish workflow and work independently to achieve project goals and deadlines. Your work will be reviewed by your manager as well as fellow team members.
We enjoy working with diverse teams. We appreciate the varied outlooks and perspectives of our team members and how they shape our projects.
Qualities we admire
- Respond well to feedback
- Being comfortable with self-directed learning
- Problem-solving
- Growth mind-set
- Prioritize team over individual success
- Being organized
Profile description
If you’re excited about the role and are committed to learning with and from your team members, aren’t afraid of constructive criticism, please apply! We’re more interested in finding someone who’s a great fit for our team than just checking off a list of qualifications.
- You have a Master’s degree in an area relevant to primary responsibilities, or similar relevant experience
- You have experience working in a university research context involving project management, research, and knowledge mobilization; experience in written and other forms of knowledge mobilization are an asset
- You have knowledge of the Montreal and national AI ecosystems
- You have knowledge of best practices in responsible AI including trends in AI governance, global standards, and assessment tools (e.g., model cards, data sheets, impact algorithmic assessment)
- You have a very good knowledge (Level 5) of spoken and written English and French to communicate effectively with faculty, staff, students, and the external community and to write and edit correspondence and reports providing detailed recommendations.
- You have a very good knowledge of the MS Office suite and MS Teams
- You have strong interpersonal and organizational skills
- You have excellent communication skills, and the ability to work both independently and as part of a team
- You have excellent attention to detail
Testing required
The language skills of qualified candidates may be tested.
Territorial Acknowledgment
Concordia University is located on unceded Indigenous lands. The Kanien’kehá:ka Nation is recognized as the custodians of the lands and waters on which we gather today. Tiohtià:ke/Montreal is historically known as a gathering place for many First Nations. Today, it is home to a diverse population of Indigenous and other peoples. We respect the continued connections with the past, present and future in our ongoing relationships with Indigenous and other peoples within the Montreal community.
Employment Equity
Concordia University is strongly committed to employment equity within its community, and to recruiting a diverse faculty and staff. The University encourages applications from all qualified candidates, including women, members of visible minorities, Indigenous persons, members of sexual minorities, persons with disabilities, and others who may contribute to diversification; candidates are invited to self-identify in their applications.
Accessibility
Concordia desires to increase diversity among its community members and we strive to make our recruitment processes as accessible as possible and provide accommodations as required for applicants. If you are contacted for an interview and anticipate needing accommodations during the process, please contact, in confidence, applied.ai@concordia.ca
Immigration Status
All qualified candidates are encouraged to apply; however, Canadian and Permanent Residents will be given priority. To comply with the Government of Canada’s reporting requirements, the University is obliged to gather information about applicants’ status as either Permanent Residents of Canada or Canadian citizens.
This position is subject to all conditions outlined in the CARE collective agreement.
How to apply
Please send your CV and cover letter to applied.ai@concordia.ca
Accommodations are available to support your success at the interview stage. Please let us know how we can mitigate barriers that would prevent you from fully participating by contacting applied.ai@concordia.ca
Your request will be held in confidence.