SVP, Chief AI Officer

Office of AI Leadership• Define and execute enterprise AI strategy across internal productivity tools, customer offerings, and managed services• Operate the AI platform layer, including model management, tooling, data pipelines, guardrails, and evaluation frameworks• Drive organization-wide AI adoption through fluency programs, training, playbooks, and industry-specific solution accelerators• Establish comprehensive AI governance covering risk management, compliance, security, safety, and model lifecycle management• Own AI bolthires modeling and unit economics in partnership with Finance and Operations teams• Manage GPU and CPU capacity strategy to optimize performance and bolthiresAI Strategy & Business Impact• Own the AI platform roadmap, model portfolio, and evaluation and monitoring approaches• Drive AI solution patterns for priority industries and embed AI capabilities into every product and service offering• Measure and report AI value creation, including revenue impact, margin improvement, productivity gains, quality enhancements, and risk reduction• Lead co-innovation initiatives with key technology partners and AI vendors• Coordinate AI go-to-market strategy with Product and Sales organizationsAI Governance & Responsible AI• Set comprehensive policies for responsible AI including ethical use, bias mitigation, and fairness• Establish data usage policies, privacy protections, and regulatory compliance frameworks• Define AI safety standards and incident response protocols• Create transparency and explainability requirements for AI systems• Monitor and enforce adherence to AI governance policies across the organizationCTO Collaboration & Platform Integration• Ensure AI platform standards align with overall technology architecture established by the CTO• Obtain joint approval with CTO for AI architectures that impact core platform decisions or risk posture• Participate in quarterly technology and AI strategy reviews with integrated roadmaps• Co-lead monthly architecture and model governance councils• Coordinate on platform reliability, security, and bolthires optimization initiativesKey Performance Indicators• AI-attributed revenue and pipeline contribution• AI-driven productivity improvements and bolthires savings• AI adoption metrics across internal teams and customer base• Model quality, performance, and safety scores• AI platform reliability and uptime• bolthires per AI inference or transaction• Compliance with AI governance policies and regulations• Partner ecosystem engagement and co-innovation outcomes• Customer satisfaction with AI-powered solutionsTechnical Expertise• Deep expertise in AI/ML technologies, large language models, and generative AI• Strong understanding of AI platform architecture, MLOps, and model lifecycle management• Knowledge of AI safety, bias mitigation, explainability, and responsible AI practices• Familiarity with cloud infrastructure, data engineering, and modern software development practices• Understanding of AI regulatory landscape and compliance requirementsLeadership Capabilities• Strategic thinker who can translate AI capabilities into business value and competitive advantage• Exceptional communication skills with the ability to educate and influence at all organizational levels• Proven ability to drive adoption and change management across large organizations• Experience building and leading multidisciplinary AI teams, including researchers, engineers, and data scientists• Track record of partner management and ecosystem development• Strong business acumen withan understanding of go-to-market and monetization strategiesRequired Qualifications• Bachelor’s degree in Computer Science, Engineering, Mathematics, or related technical field required• Advanced degree (Master's or PhD) in AI, Machine Learning, Computer Science, or related field strongly preferred• MBA or equivalent business education a plus• 12+ years of progressive technology and AI leadership experience with at least 5 years in senior executive roles• Proven track record building and scaling AI/ML platforms, products, or practices in enterprise environments• Experience driving AI strategy that delivers measurable business outcomes and revenue impact• History of establishing AI governance frameworks and responsible AI programs• Experience managing large-scale AI infrastructure, model operations, and GPU/compute resources Apply tot his job