Who You’ll Work With

If you are passionate about sociotechnical approaches to technology enablement and possess strong critical thinking skills, and risk management experience, this is the role for you. As an AI Governance specialist, you will guide clients and deliver complex AI/ML strategies and solutions, with a focus on alignment with governance, oversight, and regulatory expectations. Ideal for those with a strong blend of technical, policy, and business acumen, you'll leverage advanced AI technologies to create impactful solutions and help articulate their benefits to senior executives and delivery and sales teams in a dynamic, multidisciplinary environment.

You will play a critical role in ensuring that AI technologies meet emerging regulatory expectations and realize multi-stakeholder value. This role requires close collaboration with various teams and partners to help customers efficiently and securely adopt AI technologies in a compliant and trustworthy manner.

Given the complexities across the AI value chain, we welcome submissions from interested candidates across the diversity of sociotechnical interests and expertise, and can work with you to support your career growth through practical applications, team/project-based work and engagement with our leaders and industry experts.

What You’ll Do

Develop and implement frameworks and guidelines for responsible AI and AI Governance.
Conduct thorough assessments of AI systems to identify impacts and mitigate potential risks, limitations, biases and ethical concerns.
Setting up robust policies, controls, standards, and risk frameworks in collaboration with clients and their risk partners to oversee and ensure AI initiatives agree with organizational values, regulatory requirements, and controls.
Lead initiatives to enhance transparency and explainability of AI systems, making them more understandable and trustworthy for users.
Select appropriate technologies from a pool of open-source and commercial offerings, considering deployment models and integration with existing tools.
Understand and contribute to MLOps, LLMOps, and AI transformations to SDLC to deploy and manage machine learning models and large language models and AI systems
Enable the engineering of AI platforms and architecture with embedded controls, capability, and tooling for security, compliance, and auditability.
Provide training and support to team members on responsible AI principles and practices.
Represent Slalom and support the development of thought leadership by engaging with external stakeholders, including industry groups, academic institutions, and regulatory bodies.
Foster partnerships with third-party vendors, delivery partners, contractors, industry groups, and institutions to ensure client and organizational needs are consistently met.
Advocate for the importance of AI Governance and Trustworthy AI through speaking engagements, publications, and participation at industry events.
Lead client engagements as a Subject Matter Expert in AI Governance to solve customer problems and translate requirements into actionable solutions
Work within existing technology platforms and business operations to design effective record-keeping, human oversight, observability layers, integrated control architecture and systems of record for robust auditability
Remains up-to-date on the emerging frameworks, standards, policies, technical approaches, AI landscape and related issues by participating in workshops, reading academic research and professional publications, maintaining personal networks, and participating in relevant events

What You’ll Bring

Advanced degree such as an MA or PhD degree in a qualitative or quantitative social science, ethics or philosophy, law, or policy or a technical background in large-scale computing, modeling, data science; or related field.
At least 2 years of work experience on issues pertaining to artificial intelligence, machine learning, generative AI, and responsible AI. Experience with generative AI is required.
Experience in Healthcare, Life Sciences, Banking or any highly regulated industry or sector.
Expertise in privacy, security, data analytics, risk management, research, accessibility, environmental and carbon footprint modeling, software development/coding, or product development.
Knowledge and experience operationalizing responsible AI topics such as evaluation and testing and control integration for AI systems. Expertise in socio-technical aspects of AI (e.g., equity and fairness, ethics, safety, robustness, in the context of AI/ML).
Practical experience with ML and generative AI development pipelines and tooling.
The ability to ensure the confidentiality of sensitive information and thrive in a fast-paced, intellectually demanding and service-oriented environment.
Effective communication and written skills with the ability to convey complex technical concepts and non-technical concepts to diverse audiences.
Proven record of being an effective team player dedicated to collective successes in cross-functional teams.

About Us

Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life. We are trusted by leaders across the Global 1000, many successful enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create value. At Slalom, we believe that together, we can move faster, dream bigger, and build better tomorrows for all.

Compensation And Benefits

Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance.

Slalom is committed to fair and equitable compensation practices. For this position, the base salary pay range is $161,000 to $307,000 In addition, individuals may be eligible for an annual discretionary bonus. Actual compensation will depend upon an individual’s skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.

EEO and Accommodations

Slalom is an equal opportunity employer and is committed to attracting, developing and retaining highly qualified talent who empower our innovative teams through unique perspectives and experiences. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans’ status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process.

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AI Governance Outcomes Leader