Responsible AI Consultant - East Region

Who You'll Work With

Slalom's Responsible AI practice is seeking a Consultant / Senior Consultant in AI Risk Management to lead the development and execution of robust AI risk management programs and solutions for our clients' AI initiatives. This position sits at the nexus of advanced technology, risk management, and ethics, and is pivotal in realizing AI systems that are both innovative and trustworthy in high-stakes, real-world contexts.

What You'll Do

• AI Governance Frameworks & Policy Development
• Design and implement comprehensive AI governance programs and policies that support effective, holistic risk management.
• Develop organizational frameworks aligned with industry standards such as NIST AI Risk Management Framework and ISO/IEC 42001, adapting them to client business strategies and regulatory requirements.
• Partner with stakeholders to operationalize governance structures and accountability models for responsible AI adoption.
• Risk Assessment & Control Architecture
• 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 inventories to prioritize oversight for high-risk use cases.
• Design technical controls, including automated monitoring, alerting, and logging capabilities.
• Test and validate AI models, including generative AI and agentic AI applications.
• Design and oversee stress testing, adversarial red teaming, bias and fairness assessments, and model explainability evaluations in collaboration with Slalom subject matter experts.
• Guide implementation of testing frameworks that support continuous improvement and responsible deployment.
• Leadership & Cross-Functional Collaboration
• Coordinate across AI/ML engineering, data science, cybersecurity, compliance, legal, and business teams to establish scalable AI risk management practices.
• Guide development of AI oversight committees, risk review boards, and governance workflows aligned with enterprise risk management and innovation objectives.
• Build alignment among technical and non-technical stakeholders to advance responsible AI initiatives.
• Thought Leadership
• Help shape Slalom's market presence by translating client and industry insights into enhanced offerings and go-to-market strategies.
• Stay current on emerging AI regulations, governance standards, and risk management best practices.
• Client Engagement & Delivery
• Lead complex workstreams focused on Responsible AI and AI risk management.
• Assess client AI governance maturity and design tailored governance and risk management solutions.
• Ensure deliverables such as governance frameworks, risk assessments, and operating models meet high standards of quality and business relevance.
• Governance Strategy & Framework Implementation
• Work closely with client stakeholders to co-create AI risk management strategies aligned to business objectives and regulatory expectations.
• Develop and implement scalable enterprise-wide AI governance programs with clearly defined roles, responsibilities, and processes.
• Risk Control Engineering & Monitoring
• Design and implement technical controls and system architectures that mitigate AI-related risks.
• Collaborate with engineering teams to embed security, privacy, compliance, and monitoring controls into AI platforms and data pipelines.
• Training, Upskilling & Change Management
• Develop training programs and workshops that build client capabilities in AI risk management.
• Lead change management initiatives that embed responsible AI practices and accountability into organizational culture.
• Practice Development
• Contribute to the growth of Slalom's Responsible AI practice through research, thought leadership, and service development.
• Mentor junior consultants and collaborate across Slalom's data, engineering, strategy, and AI teams.

Qualifications

• Education & Experience: Degree in a relevant field such as computer science, engineering, policy, social sciences, or related disciplines required; advanced degree preferred. Five or more years of combined experience in AI/ML development, AI governance, risk management, or related fields. Experience in highly regulated industries is strongly preferred.
• AI/ML Technical Expertise: Strong understanding of AI and machine learning systems, including model development, deployment, and operational monitoring. Practical experience with data science methodologies is required.
• AI Governance & Policy Development: Proven experience designing and implementing AI governance frameworks, policies, and operating models that support safe, ethical, and compliant AI adoption.
• AI Risk Management Frameworks & Regulations: Deep knowledge of frameworks and regulations such as NIST AI RMF, ISO/IEC 42001, the EU AI Act, and related governance standards.
• Technical Control Engineering & Automation: Experience designing and implementing technical controls, monitoring capabilities, and automated governance solutions for AI systems.
• AI System Monitoring & Observability: Hands-on experience with AI observability, monitoring, logging, and performance measurement solutions.
• Testing & Validation of AI Models: Demonstrated experience developing testing frameworks and validation approaches, including stress testing, red teaming, bias assessments, fairness evaluations, and model explainability.
• Risk Assessment & Tiering: Experience conducting AI risk assessments, maintaining AI inventories, and applying risk-tiering methodologies to prioritize governance activities.
• Stakeholder Engagement & Communication: Excellent communication and relationship-building skills, with the ability to engage technical teams, risk professionals, compliance leaders, and executive stakeholders.
• Client Delivery & Leadership: Proven experience leading complex client engagements, managing workstreams, and delivering high-quality outcomes.
• Training & Change Management: Ability to design and deliver training programs and facilitate organizational change initiatives supporting AI governance adoption.