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, agentic loop design, context management, memory, MCP and tool calling a must.
- Proven ability to apply AI to real business use cases, moving solutions from concept to production.
- Experience designing AI systems that are secure, observable, and scalable.
- Strong understanding of model lifecycle management (training, deployment, monitoring, retraining).
- Experience establishing responsible AI governance and controls.
- Knowledge of AI/ML platforms, cloud-native patterns, and integration approaches (e.g. MCP, A2A, etc.).
- Ability to influence senior stakeholders and collaborate across business and technology.
What Success Looks Like
- AI capabilities are consistently applied to high-value business use cases across AWM.
- Clear, reusable AI architecture patterns adopted across teams.
- AI systems operate with strong observability, quality, and governance.
- Business leaders have confidence in AI-driven decision support and automation.
- AWM is positioned to scale both traditional AI and generative AI capabilities responsibly.
Major priorities for the role will include:
- Defining GenAI and agent-based architecture patterns (e.g., RAG, orchestration layers, evaluation frameworks).
- Establishing AI observability and monitoring practices across all solutions.
- Driving AI adoption in advice workflows (advisor assist, client engagement, operations automation).
- Creating clear guidance on when and how to use AI vs. traditional approaches.
- Partnering with Data Architecture to ensure AI-ready data foundations.
- Integrating AI capabilities across multiple Vanguard systems and third-party platforms.
- Partnering with Enterprise AI & Engineering Platforms organization to shape enterprise AI reference architecture and technology that supports AWMT AI priorities
Special Factors
Sponsorship
Vanguard is not offering visa sponsorship for this position.About Vanguard
At Vanguard, we don't just have a mission—we're on a mission.
To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.
How We Work
Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.
Skills Required
- Deep expertise across both traditional ML and generative AI architectures
- Proven ability to apply AI to real business use cases
- Experience designing AI systems that are secure, observable, and scalable
- Strong understanding of model lifecycle management
- Experience establishing responsible AI governance and controls
- Knowledge of AI/ML platforms and integration approaches
- Ability to influence senior stakeholders and collaborate
Vanguard Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Vanguard and has not been reviewed or approved by Vanguard.
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Retirement Support — Retirement support appears unusually strong through a 401(k) design that includes a match plus an additional employer contribution, which can materially lift long-term total rewards. HSA seeding and an enhanced employer match further strengthen the savings-and-benefits value of the package.
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Wellbeing & Lifestyle Benefits — Wellbeing and lifestyle support is reinforced by a sizable annual FlexFund stipend that can be applied across many day-to-day categories such as fitness, childcare, and other personal expenses. On-site or virtual clinics and fitness options add practical health and wellness convenience.
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Affordable Benefits — Healthcare and related benefits are positioned as comparatively affordable via heavily subsidized medical plans and broad coverage options. This affordability can offset moderate base pay for employees who place higher value on out-of-pocket cost reductions.
Vanguard Insights
What We Do
We are a community of 30 million who think – and feel – differently about investing. Together, we’re changing the way the world invests. Since our founding in 1975, helping our investors achieve their goals is our sole reason for existence. With no other parties to answer to and therefore no conflicting loyalties, we make every decision—like keeping investing costs as low as possible—with only your needs in mind. Vanguard is one of the world's largest investment companies, offering a large selection of high-quality low-cost mutual funds, ETFs, advice, and related services. Individual and institutional investors, financial professionals, and plan sponsors can benefit from the size, stability, and experience Vanguard offers. As of April 30, 2019, we managed more than $5.6 trillion in global assets. In addition, we have 189 funds in the United States and 225 funds in global markets. For Commenting Guidelines & Important information, visit here: http://vanguard.com/linkedin Vanguard Marketing Corporation, Distributor.
