• Design and implement comprehensive programs and policies for AI support effective holistic risk management.
• Design organizational frameworks aligned with industry standards (e.g., NIST AI Risk Management Framework, ISO/IEC 42001) and adapt them to meet specific client’s business strategies and regulatory landscape.

• Lead end-to-end AI risk assessments for high-impact AI systems.
• Identify potential failure modes, vulnerabilities, and ethical risks across the AI lifecycle.
• Develop risk tiering methodologies and AI risk and model inventories to prioritize oversight for high-risk use cases.
• Design technical controls, such as automated monitoring, alerting, and logging

• Establish rigorous testing protocols to validate AI systems, including generative AI and agentic AI systems)
• Design and oversee stress-testing, adversarial red-teaming, bias and fairness assessments, and model explainability evaluations in collaboration with Slalom Subject Matter Experts.

• Coordinate across client functions to achieve outcome-focused, scalable AI risks management (AI/ML engineering, data science, IT, cybersecurity, compliance, legal, and business operations)
• Guide the development of AI oversight committees, risk review boards, and cross-functional workflows that align with clients’ overall enterprise risk management and innovation frameworks

• Help shape Slalom’s market presence by translating field insights into enhancements of our offerings and marketing campaigns

• Education & Experience: Degree in relevant field (e.g., computer science, policy, social sciences, engineering, or physical sciences) required and advanced degree preferred. 5+ years of combined experience in AI/ML development and risk management or governance roles with significant exposure to AI policy initiatives. Experience working with or within highly regulated industries (e.g., financial services, healthcare, life sciences, public sector) is strongly preferred.

• Client Engagement & Delivery: Lead complex workstreams focused on Responsible AI and AI risk management. From initial assessments of a client’s current AI governance maturity to the design and implementation of tailored risk controls, you will guide clients through the process of operationalizing AI risk management. You will ensure deliverables (e.g., risk assessment reports, governance frameworks, etc.) meet high standards of quality, clarity, and relevance.
• Governance Strategy & Framework Implementation: Work closely with client stakeholders to co-create AI risk management strategies that align with their business goals and regulatory landscapes. Develop and roll out enterprise-wide, scalable AI risk management programs and operating models with clearly defined roles, responsibilities, and processes.
• Risk Control Engineering & Monitoring: Design and implement technical controls and system architectures to mitigate AI-related risks. Collaborate with Slalom and client engineering teams to embed security, privacy, and compliance controls into AI platforms and data pipelines.
• Testing & Validation of AI Systems: Oversee and contribute to rigorous testing of AI systems, especially for high-risk AI applications. Guide client teams in implementing these testing protocols and interpreting the results to support concrete improvements in model design and deployments.
• Training, Upskilling & Change Management: Play a key role in building our clients’ internal capabilities for ongoing AI risk management. Design and deliver training workshops and educational materials to upskill client teams. Lead change management initiatives to help embed a culture of accountability and appropriate AI use in alignment with new policies and processes such that AI risk management enhancements are sustainable.
• Thought Leadership & Practice Development: Contribute to the growth of Slalom’s Responsible AI practice by staying at the forefront of industry trends. Conduct research and synthesize insights on emerging topics to inform both client work and Slalom’s service offerings. Mentor and support junior consultants in developing their expertise. Collaborate with Slalom’s cross-functional teams (data science, engineering, strategy) to continue evolving our AI Risk Management frameworks and tools.

• Integrated Perspective: A unique ability to integrate technical AI/ML expertise with a strategic understanding of risk management and governance. You approach AI challenges as sociotechnical problems, and can articulate this perspective to drive consensus and action.
• Technical and Analytical Excellence: Deep knowledge of machine learning techniques and tools, combined with a strong grasp of risk analysis methods. You might have experience building or launching AI products, but you also know how to assess for weaknesses and implement improvements. You are adept at using data and empirical evidence to support your recommendations and to measure the effectiveness of interventions.
• Influence & Communication: Proven ability to communicate complex ideas clearly and persuasively. You can convey the nuances of AI risks and controls to non-technical audiences (e.g., translating the significance of a bias metric or a regulatory requirement to an executive). Conversely, you can also engage deeply with technical teams to troubleshoot issues or refine system designs. Your interpersonal skills enable you to build trust and credibility, facilitating cross-functional collaboration and stakeholder buy-in.
• Leadership & Self-Driven Growth: A track record of taking initiative and ownership in dynamic settings. You have led project teams or workstreams, demonstrating strong project management and organizational skills. You can prioritize effectively among multiple commitments, maintain attention to detail under tight deadlines, and adapt to changing client needs or emerging challenges. You continually seek to expand your knowledge, remain current with fast-evolving AI trends.

Work Environment

Hybrid/In office: We are hybrid but there are expectations that if your team leader requires you onsite that you are able to meet those expectations/requirements 

Slalom Employee Perks: 

·      Culture & fun!  

·      Lunch & learns 

·      Health & wellness activities 

·      Holiday parties  

·      Employee community groups 

·      Social clubs & activities  

·      Vacation (20 days prorated based on start date & wellness/sick days) 

Tangible perks:

·      Competitive compensation package 

·      $100 cell phone monthly reimbursement 

·      Registered Retirement Program (RRSP) & Employer Matching 

·      Tax-Free Savings Account (TFSA) 

·      Annual “Thrive Well-Being” Gift Card 

·      Family planning/ Fertility Benefit 

·      Maternity/Parental Leave Top-Up 

·      Medical & Dental Benefits 

·      Life and AD&D Insurance 

·      Access to Supplementary Life and AD&D Insurance 

·      Access to the Employee Assistance Program (EAP) and Inkblot Therapy 

·      And more! 

*All benefits are subject to eligibility requirements 

Slalom is an inclusive, equal opportunity employer dedicated to building a diverse workforce. We encourage applications from all qualified candidates and will work to reasonably accommodate applicants’ needs throughout all stages of the recruitment and selection process. Please advise the talent acquisition team if you require accommodations during the interview process. At Slalom, we leverage artificial intelligence (AI) to enhance the efficiency and scalability of our recruitment process. To learn more about how we leverage AI please read our TA AI Usage policy here.

Please note if you are hired at Slalom you will be required to complete a background check.