
Slalom Flex (Project Based) AI Architect
Remote · USFull-time / Contract / TemporarySeen 5 days agoSeen in employer's feed 5 days ago
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Job overview
Slalom seeks an AI Architect to design and roll out a scalable, secure enterprise AI adoption approach. The role spans AI strategy, operating-model design, productization, governance, risk management, and roadmap execution. The architect will align AI initiatives with business objectives and risk posture, establish reusable capabilities and guardrails, and plan a six-month rollout. The position is remote, aligned to EST hours, full-time, and project-based for three months with a chance of extension.
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Full job description
Description and Requirements Job Description AI Architect (Enterprise AI Strategy & Governance) Location: Remote, EST Hours Position Type: Full-Time, Project Based Consultant Start Date: Immediate Duration: 3 months with chance of extension About Us Slalom is a purpose-led, global business and technology consulting company. From strategy to implementation, our approach is fiercely human. In six+ countries and 43+ markets, we deeply understand our customers-and their customers-to deliver practical, end-to-end solutions that drive meaningful impact. Backed by close partnerships with over 400 leading technology providers, our 10,000+ strong team helps people and organizations dream bigger, move faster, and build better tomorrows for all. We're honored to be consistently recognized as a great place to work, including being one of Fortune's 100 Best Companies to Work For seven years running. Learn more at Slalom.com. Role Overview We are seeking a forward-thinking AI Architect to lead the design and rollout of a scalable, secure "Paved Road" approach for enterprise AI adoption. This role sits at the intersection of strategy, architecture, and governance-ensuring AI capabilities are delivered as reusable, compliant products that accelerate innovation while minimizing risk. What You'll Do AI Strategy & Prioritization Evaluate enterprise-wide AI demand signals across business units and identify high-impact opportunities. Prioritize and define the first set of AI guardrails and capabilities to enable safe and scalable adoption. Partner with business and security leaders to align AI initiatives to strategic objectives and risk posture. Operating Model Design Design the AI "Paved Road" operating model, including squad structure, product ownership, and cross-functional collaboration. Establish clear roles, responsibilities, and engagement models between engineering, security, and business stakeholders. Define success metrics and adoption KPIs to measure effectiveness and scale. AI Productization Define AI guardrails, platforms, and agents as internal products with clear value propositions, target users, and lifecycle ownership. Establish standards for onboarding, usage, and compliance across all AI-enabled solutions. Drive consistency in tooling, patterns, and reusable components across the enterprise. Governance & Risk Management Architect governance frameworks that balance speed and control, including policies for responsible AI usage. Design and implement exception ("off-ramp") models with appropriate isolation patterns and escalation paths. Partner with cybersecurity teams to ensure AI systems meet enterprise risk, compliance, and security standards. Roadmap & Execution Identify and prioritize AI use cases across key domains such as threat detection, incident response, vulnerability management, control assurance, and identity. Develop and sequence a 6-month rollout roadmap with pilot teams, milestones, and decision gates. Recommend tooling and platform capabilities required to support enterprise AI adoption at scale. What You'll Bring Experience designing enterprise AI, data, or cloud architectures in complex environments. Strong understanding of AI/ML platforms, LLMs, and emerging AI technologies. Proven ability to build operating models, governance frameworks, and product-oriented platforms. Experience partnering with security and risk teams on regulated or high-compliance systems. Strong stakeholder management and ability to lead executive-level discussions. Preferred Experience Background in cybersecurity, platform engineering, or enterprise architecture. Experience defining AI governance policies or responsible AI frameworks. Familiarity with product-based delivery models and internal platform design. 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 includemeaningful time off and paid holidays, 401(k) with a match, a range
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