SVP AI Enterprise Architect
AI summary of the role
Provide input, guidance, and expertise on generative AI and machine learning within the enterprise
What you’ll do
- Drive controlled growth in AI initiatives and deliver efficiency gains through automation and AI adoption
- Stay abreast of the latest AI developments and technologies
- Advise on how AI can enhance the developer experience and consult with application development teams
- Bridge the gap between business and technology by aligning technical solutions with business needs
What you’ll bring
- Deep experience with generative AI, machine learning, and enterprise‑grade AI/ML systems in regulated industries
- Strong enterprise architecture background and ability to align AI solutions with business strategy
- Expertise in AI governance, regulatory frameworks, and implementing compliant risk controls
- Mastery of Azure AI Foundry and working knowledge of AWS generative AI tools
Technologies
generative AI · machine learning · Azure AI Foundry · AWS · RAG · LangChain · TensorFlow · PyTorch · Databricks · Python
About Northern Trust
Specialized custody and trust bank providing asset servicing, asset management, and ultra-high-net-worth wealth management for sophisticated institutions, family offices, and affluent individuals.
Public · 5000+ people
Source and classification
Deployment strategy · Evidence for this classification:
institutions by remaining true to our enduring principles of service, expertise, and integrity. With more than 130 years of financial experience and over 22,000 partners, we serve the world’s most sophisticated clients using leading technology and exceptional service. Your Role The SVP, AI Architect will serve as a strategic member of the Enterprise Architecture organization, providing expert guidance, thought leadership, and hands-on support across all areas of generative AI and machine learning within the enterprise. This role is responsible for shaping and influencing the organization’s AI strategy, ensuring that innovation is pursued with intention, security, and appropriate governance. In this role, the AI Architect will drive controlled and sustainable AI adoption, enabling meaningful efficiency gains through intelligent automation, process optimization, and the integration ofHow jobs are selected
Employer postings · Data from · Sources