aimlroles

AI Scientist, Specialist

Vanguard Open · verified Oct 21, 2026
Malvern Full-time Mid-level AI Research

At a glance

Mid-level AI Research role at Vanguard. Malvern · full-time · no salary stated · we estimate $135,000–$232,000 across the United States.

Estimated pay

Vanguard has not published a salary for this role. The figure below is our estimate, not theirs.

$135,000 – $232,000
What the middle half of mid-level AI research roles in the United States paid, among postings that did state a salary.
Worked out from 279 postings that stated pay, median $180,000. Last updated Oct 22, 2026.
RoleAI Research
SeniorityMid-level
LocationMalvern
EmploymentFull-time
PostedAug 28, 2026 · 7w ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Carry predictive modeling work from defining the question through validation, deployment readiness and continued risk review
  • Develop and evaluate AI agents that coordinate large language models, business tools and data to address complex problems
  • Run diagnostic, predictive and prescriptive analyses, testing alternative models to support business decisions
  • Turn stakeholder questions into analytical plans and oversee model checks, monitoring, governance and responsible use
  • Create reusable modeling resources, present findings and recommendations to leaders, and coach junior AI scientists

What you bring

  • Hands-on work creating LLM applications through retrieval pipelines, prompt workflows, fine-tuning or agent frameworks
  • Relevant experience in data science, AI, machine learning or analytics, using statistical and ML techniques to address business questions
  • Experience with generative AI, large language models, knowledge graphs and modern methods for assessing AI
  • Python proficiency and experience with frameworks such as TensorFlow, PyTorch or Scikit-learn

Who this fits

This role suits someone who can lead technical modeling work, advise stakeholders and communicate findings to leadership. The position follows a hybrid work model in Malvern. Visa sponsorship is unavailable.

From the employer

Responsibilities

  • Own end-to-end design, development, and execution of complex predictive modeling initiatives, from problem formulation through validation, deployment readiness, and ongoing risk assessment.
  • Lead the design, development, evaluation, and deployment of agentic AI solutions that orchestrate large language models, enterprise tools, and data sources to solve complex business problems.
  • Evaluate emerging AI capabilities—including fine-tuning, prompt engineering, retrieval-augmented generation, and multi-agent architectures—and assess their relevance to Vanguard Workplace Solutions priorities.
  • Lead deep-dive diagnostic, predictive, and prescriptive analytics to support data-driven decision-making, including alternative model approaches that advance future capabilities.
  • Partner with senior leaders and business stakeholders to understand processes, shape hypotheses, clarify requirements, and translate business needs into actionable analytical approaches.
  • Guide research design, model evaluation, validation, monitoring, and responsible-use practices, providing expert judgment on model performance, stability, governance, and appropriate application.
  • Build reusable tools, frameworks, and shared resources that improve modeling efficiency, consistency, scalability, and quality across the analytics and AI community.
  • Prepare and deliver clear, insightful presentations with recommended actions, communicating complex analytical findings and business implications to leadership audiences.
  • Mentor and develop junior AI scientists and analysts through technical guidance, coaching, and knowledge sharing.
  • Participate in special projects and perform other duties as assigned.

Qualifications

  • Hands-on experience building LLM-powered applications, such as retrieval-augmented generation pipelines, prompt engineering workflows, fine-tuning approaches, or agentic frameworks including LangChain, LangGraph, or Google ADK.
  • Related work experience in data science, AI, machine learning, or analytical roles, with strong experience applying statistical and machine learning methods to business problems.
  • Experience with large language models, generative AI, knowledge graphs, and modern AI evaluation practices.
  • Proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Experience with cloud platforms, such as AWS, and associated AI services, data platforms, and deployment tools.
  • Strong stakeholder management, communication, storytelling, and collaboration skills, with the ability to influence technical and nontechnical audiences.

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.