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Vanguard’s Enterprise AI and Research (EAiR) team is actively working on advancing AI innovation by integrating cutting-edge concepts into the Vanguard AI ecosystem, establishing strategic AI partnerships, and building enterprise-level AI capabilities to empower Vanguard clients with advanced AI research and technology. The team aims to ultimately accelerate critical business solutions with AI capabilities. Some of the team’s areas of research include areas around Agentic AI, Responsible AI, and Cognitive AI Architecture.
Core Responsibilities:
Conduct advanced research in AI domains, such as Generative AI, Agentic AI, Cognitive AI architectures, call transcription, and large language models; Drive the development of new algorithms, models and techniques that push the boundaries of AI technology.
Work closely with engineering teams to transition research findings into scalable, production-ready solutions; Develop prototypes and proof of concept systems that demonstrate the applicability of research findings to business problems.
Publish research in top-tier AI conferences and journals (e.g., NeurIPS, ICML, CVPR, ACL); Present findings at conferences, workshops, and internal forums to showcase advancements and foster knowledge sharing.
Mentor junior scientists and engineers in conducting high-quality research and writing impactful publications; Provide technical guidance and support to ensure research aligns with both academic and business goals.
Partner with cross-functional teams to align research priorities with business needs; Work closely with product and engineering teams to design AI solutions that are both innovative and practical
Ensure all research and solutions adhere to responsible AI principles, prioritizing safety.
Qualifications:
Advanced degree (Post Doctorate or PhD or Master’s in Computer Science, AI, Data Science or related field)
At 5+ years of relevant work experience
Deep understanding of cutting-edge AI research topics, such as multi-agent systems, generative models, or cognitive architectures
Familiarity with Responsible AI practices and frameworks
Consistent publication record in top tier conferences and journals with high H-index is a plus.
Special Factors
Sponsorship
Vanguard is 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
- Postdoctoral, PhD, or Master’s in Computer Science, AI, Data Science, or related field
- 5+ years of relevant work experience
- Deep expertise in cutting-edge AI research (multi-agent systems, generative models, cognitive architectures)
- Familiarity with Responsible AI practices and frameworks
- Consistent publication record in top-tier conferences/journals (high H-index is a plus)
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.








