Vanguard
Financial Services
ChiefAIArchitect
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optimal for Executive candidates.
“Chief AI Architect at Vanguard. Skills: AI Architecture, Generative AI, Agentic AI, Responsible AI. Define AI architecture roadmap. Execute AI architecture roadmap”
What You'll Achieve.
AI capabilities applied to business use cases; Reusable AI architecture patterns adopted; AI systems operate with observability; AI systems operate with quality; AI systems operate with governance; Business leaders have confidence in AI; Scale AI capabilities responsibly
Industry & Context.
Problem solving
What They're Looking For.
Must Have
Deep expertise in agentic application architectures, Deep expertise in model selection, Deep expertise in fine tuning, Deep expertise in prompt engineering, Deep expertise in agentic loop design, Deep expertise in context management, Deep expertise in memory, Deep expertise in MCP, Deep expertise in tool calling, Apply AI to real business use cases, Design AI systems that are secure, Design AI systems that are observable, Design AI systems that are scalable, Understanding of model lifecycle management, Experience establishing responsible AI governance, Experience establishing responsible AI controls, Knowledge of AI/ML platforms, Knowledge of cloud-native patterns, Knowledge of integration approaches
Nice to Have
Visa sponsorship not offered
What You'll Do.
Define AI architecture roadmap
Execute AI architecture roadmap
Align across organizational lines
Lead across organizational lines
Collaborate across organizational lines
Establish architecture patterns for generative AI
Establish deployment patterns for generative AI
Establish monitoring patterns for generative AI
Help business leaders understand AI leverage
Help product leaders understand AI leverage
Influence enterprise guardrails for responsible AI
Influence enterprise standards for responsible AI
Establish repeatable patterns for integrating AI
Partner with data architecture
Ensure AI-ready data foundations
Guide teams on build decisions
Guide teams on buy decisions
Guide teams on partner decisions
Research emerging AI technologies
Translate research into recommendations
Translate research into investment proposals
Influence senior leadership on AI strategy
Influence senior leadership on investment priorities
Influence senior leadership on sequencing
Coach architects in AI architecture
Coach architects in AI design
Mentor architects in AI architecture
Mentor architects in AI design
Coach senior engineers in AI architecture
Coach senior engineers in AI design
Mentor senior engineers in AI architecture
Mentor senior engineers in AI design
Define GenAI architecture patterns
Define agent-based architecture patterns
Establish AI observability practices
Establish AI monitoring practices
Drive AI adoption in advice workflows
Create guidance on AI usage
Create guidance on traditional approach usage
Ensure AI-ready data foundations
Integrate AI capabilities across systems
Integrate AI capabilities across platforms
Shape enterprise AI reference architecture
Shape enterprise AI technology
How You'll Work.
Team & Collaboration
Partnering with business teams; Partnering with product teams; Partnering with engineering teams; Collaboration across organizational lines; Partner with data architecture; Partner with Enterprise AI & Engineering Platforms
Communication Scope
Influence senior stakeholders
Process & Methodology
Roadmap
Full Job Description
**Role Overview** The Chief AI Architect for Advice & Wealth Management shapes and evolves the AI architecture underpinning advice delivery, client experiences, operational efficiency, and decision intelligence. This role ensures generative AI capabilities are applied in a practical, business-focused way—balancing innovation with responsible AI practices, scalability, and operational excellence. Partnering closely with business, product, and engineering teams, the Chief AI Architect provides architectural leadership to define how AI is used across the portfolio, establishing patterns, guardrails, and platforms that enable sustainable adoption and measurable outcomes. **Key Accountabilities:** * Define and execute the AI architecture roadmap for Advice & Wealth Management in partnership and collaboration with other organizations. * Align, lead and collaborate across organizational lines to move AI forward. * Establish architecture patterns for generative AI powered applications including deployment and monitoring. * Help business and product leaders understand how they can leverage AI to solve their business problems. * Influence enterprise guardrails and standards for responsible AI usage (evaluation, observability, model performance, and risk management). * Establish repeatable patterns for integrating AI into applications, workflows, and platforms. * Partner with data architecture to ensure AI-ready data foundations (quality, governance, lineage). * Guide teams on build vs. buy vs. partner decisions for AI capabilities and platforms. * Research emerging AI technologies and patterns; translate into practical recommendations and investment proposals. * Influence senior leadership on AI strategy, investment priorities, and sequencing. * Coach and mentor architects and senior engineers in AI architecture and design practices. **Experience & Capabilities** * Deep expertise in**agentic application architectures,** model selection, fine tuning, prompt engineering, agenti
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