Principal - Responsible AI Solution Architect

Role: AI Governance Strategist & Solution Architect: Principal Join Slalom's AI team as a Responsible AI Strategist or Responsible AI Technical Solution Architect. 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. We are looking to build a cohort and a practice and seek passionate colleagues, collaborators, and team mates. As a Responsible AI technical consultant and architect, 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, risk management 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. Position Overview 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. Key Responsibilities Develop, implement, and integrate strategies, 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 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, AgentOps, 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 Responsible AI and Trust and Safety through speaking engagements, publications, and industry events. Lead client engagements as a Subject Matter Expert in AI Risk Management and Ethics 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. Remain up‑to‑date on 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. Qualifications Advanced degree such as an MA or PhD 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, cyber, data analytics, risk management, research, accessibility, FinOps, risk modeling, environmental and carbon footprint modeling, software development, 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, RAI red‑team, performance, ethics, safety, robustness in the context of AI/ML). Practical experience with ML and generative AI development pipelines and tooling. The ability to lead with integrity, review and ensure the quality of outputs and outcomes, 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. Ability to navigate ambiguity and adapt to rapidly changing environments and demands and work across multiple disciplines and cultures. Proven record of experimentation, creativity, and openness to feedback, learning from both successes and failures. What You’ll Do AI Risk Management Strategy and Delivery: collaborate and deliver solutions for AI governance, process, procedure, and control design, model development, testing, deployment and product, utilizing standard and emerging best practices and frameworks across the development lifecycle (e.g., NIST, ISO, OWASP). Business Development : Lead business development activities to grow our AI team; identify opportunities and sell services to both new and existing clients. Industry & RAI Subject Matter Expertise : You know the industry vocabulary, current regulatory and compliance context, associated with data privacy, security, sociotechnical risk and emerging policy considerations. Market Presence & Thought Leadership : Establish market awareness and grow Slalom’s AI capabilities within your industry vertical. Partner Confidence : Work closely with our partner vertical leaders to develop joint thought leadership, GTM strategies and events, and participate in vertical account team planning and QBRs. What You’ll Bring Industry experience, preferably in a highly regulated sector. Strong business acumen and critical thinking skills with ability to articulate AI benefits and risks to senior executives. Attention to detail, documentation, evidence and experience in risk management and mitigation. Passion regarding the potential of AI as well as the challenges and limitations of real‑world AI implementations. Comfortable dealing with ambiguity and rapid change. Proven ability to manage and prioritize multiple competing tasks. Demonstrated ability to be resourceful and learn new concepts quickly. Thoughtful collaboration, ability to work with and across diverse teams and stakeholders, kindness, and a harm‑reductionist mindset and toolkit. Compensation and Benefits Slalom provides benefits including meaningful time off and paid holidays, parental leave, 401(k) with a match, health, dental and vision coverage, adoption and fertility assistance, short‑term and long‑term disability, and a yearly $350 reimbursement account for well‑being expenses. Additional benefits include discounted home, auto and pet insurance. Atlanta, Charlotte, Miami - $176,500 - $216,000 Boston, New York, Washington D.C. - $192,500 - $235,500 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 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 at all stages of the selection process. For accommodations during the interview process, please advise the talent acquisition team or contact View email address on click.appcast.io if you require assistance. #J-18808-Ljbffr Slalom