SVP, Head of AI Solutions Technology (AI)

Location: Hybrid; Stamford, CT or New York, NY, United States. Regular commute to the nearest virtual or physical Hub is required for in-person meetings, training, and culture events.

Salary: $200,000–$330,000 USD annually, plus an Annual Incentive Plan target of 25% and an Annual Equity target of 25% of salary.

Company

hirify.global is a financial services company building responsible AI capabilities to support enterprise business transformation.

What you will do

• Lead AI solutions technology across strategic business-unit and enterprise programs, managing technical leads and delivery teams.
• Design and deliver complex AI solutions covering architecture, model integration, data flows, APIs, workflow automation, agentic patterns, evaluation, and observability.
• Convert prioritized AI opportunities into roadmaps, delivery plans, milestones, success metrics, and adoption plans.
• Establish enterprise AgenticAI development standards and build reusable AI assets, services, components, reference architectures, and playbooks.
• Partner with architecture, cybersecurity, data, infrastructure, risk, legal, compliance, privacy, and model governance teams to ensure secure, resilient, auditable, and responsible delivery.
• Lead technical decision forums, Agile execution, vendor and technology evaluation, talent development, and risk and dependency management.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Mathematics, or a related technical discipline, plus 12+ years of software engineering, data engineering, machine learning, or AI experience.
• Proven experience leading technology organizations or multi-team programs delivering complex enterprise-scale solutions.
• Hands-on experience with RAG, agentic workflows, model orchestration, evaluation frameworks, LLMOps/MLOps, vector search, and AI platform capabilities.
• Deep software engineering experience in architecture, APIs, cloud-native delivery, and data integration.
• Experience leading technical design, architecture tradeoffs, enterprise architecture partnerships, and communication with senior leaders and delivery teams.
• Experience managing technical leads, AI engineers, or data scientists, including staffing, prioritization, performance management, coaching, standards, and talent development.
• Strong executive communication and experience explaining AI risks, tradeoffs, costs, and delivery implications in business language.
• Experience with Agile delivery, dependency coordination, and cross-functional execution, including internal AI platforms, reusable components, or accelerators.
• Ability and flexibility to travel for business as required.
• Legal authorization to work in the United States is required. Applicants must be willing to complete a drug test, background investigation, fingerprinting, and applicable Federal Deposit Insurance Act Section 19 requirements.

Nice to have

• Advanced degree in Computer Science, Machine Learning, AI, Applied Mathematics, or a related technical field.
• Knowledge of responsible AI, model risk, data privacy, cybersecurity, legal, compliance, auditability, access controls, and operational risk in regulated environments.
• Experience leading AI engineering in financial services, banking, payments, credit, risk, fraud, servicing, marketing, operations, or another highly regulated domain.
• Experience managing technology vendors, cloud providers, AI platforms, consulting partners, or shared engineering resources.

Culture & Benefits

• Flexible hybrid work from home near a Hub or from an office, with required in-person engagement activities.
• Inclusive culture supported by Employee Resource Groups and an emphasis on belonging, connection, and professional growth.
• Employment is subject to age, education, background, drug-testing, fingerprinting, and regulatory eligibility requirements.
• hirify.global will not sponsor employment visas for this position, now or in the future.

Hiring process

• Applicants must provide any requested reasonable-accommodation information to support the application or work process.