VP AI Infrastructure

Why you'll LOVE Sagent:

 

You could work anywhere. We know you are talented and looking for something inspiring and impactful. A place where you will make a difference and have a great time doing it!

 

By choosing Sagent, you can be part of our mission to make loans and homeownership simpler and safer for all consumers.

 

Sagent powers servicers and consumers. You power Sagent!

 

Overview:

Sagent is seeking a Vice President of AI Infrastructure to be responsible for designing, building, and operating the enterprise-grade AI/ML infrastructure that underpins our company’s products, services, and internal operations. This role will serve as a senior technology leader, working closely with Network/Infrastructure Engineering, Cybersecurity, and DevOps teams to ensure that AI/ML platforms are secure, scalable, resilient, and compliant with industry frameworks (NIST, ISO, SOC2) and norms.

The VP will establish the foundations of our AI capability, spanning data pipelines, model training, deployment platforms, monitoring/observability, and governance. They will also be responsible for integrating AI infrastructure seamlessly into existing enterprise IT and security architectures.

Your day-to-day at Sagent:

• Define and execute the enterprise AI infrastructure strategy, aligning with corporate goals and in partnership with Cybersecurity, Network/Infrastructure, and Enterprise Architecture teams
• Drive the adoption of AI/ML engineering rigor across the company, ensuring security, resilience, and compliance are baked into every layer of the AI stack.
• Serve as the senior thought leader on AI infrastructure, advising executives on emerging technologies, risks, and opportunities.
• Build and scale foundational AI/ML platforms including data ingestion pipelines, model training environments, orchestration frameworks, and deployment toolchains.
• Develop secure and compliant AI infrastructure aligned with NIST, ISO, EO 14028, and Zero Trust principles.
• Partner with Network Engineering and Cybersecurity to ensure AI workloads are hardened, monitored, and protected across on-prem, hybrid, and cloud environments.
• Oversee AI observability and monitoring, including model drift detection, bias/fairness monitoring, and data lineage tracking.
• Champion automation and MLSecOps principles to improve speed, reliability, and repeatability in model training and deployment.
• Establish AI infrastructure policies and standards for access control, data security, compliance, and responsible AI operations.
• Collaborate with Cyber GRC and Risk teams to ensure auditability, transparency, and adherence to governance requirements.
• Manage vendor relationships with cloud providers, AI/ML platform vendors, and security partners.
• Build and lead a cross-disciplinary AI Infrastructure team of engineers, architects, and operations specialists.
• Drive a culture of engineering excellence, accountability, and continuous improvement.
• Mentor and grow talent, ensuring organizational readiness to support future AI/ML initiatives.

We would love to hear from you if you have: 

• 15+ years in enterprise IT, data engineering, cybersecurity, or infrastructure leadership, with at least 3+ years leading AI/ML infrastructure at scale.
• Proven experience with cloud-native AI platforms (AWS Sagemaker, Azure ML, GCP Vertex AI etc.) and on-prem GPU/accelerator infrastructure.
• Strong background in enterprise-grade networking, storage, and cybersecurity controls.
• Deep understanding of MLOps/MLSecOps practices, including CI/CD for ML, containerization (Docker/Kubernetes), and monitoring frameworks.
• Familiarity with Zero Trust Architecture, NIST 800-53a rev5, ISO 27001, ITIL, and SOC2 frameworks.
• Strong leadership, communication, and collaboration skills with executive presence.
• Experience in Financial Services, Defense, or other highly regulated industries.
• Knowledge of data governance frameworks (e.g., DAMA-DMBOK, DCAM).