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Senior AI/ML Scientist

Vanguard
Malvern, USA
Full-time
Senior · 3+ years experience
Hybrid
Discovered 3 weeks ago
python

Full Job Posting

Responsibilities:

  • Solve Business Problems with AI
  • Partner with business stakeholders to identify, frame, and prioritize high‐value problems that can be addressed using Agentic AI, LLMs, and NLP.
  • Translate business needs into clear AI use cases, success metrics, and delivery plans.
  • Focus on business outcomes, not just model performance.
  • Design & Build Agentic AI Solutions
  • Architect and develop agentic AI systems that can reason, plan, and take actions across tools, workflows, and data sources.
  • Design multi‐agent and tool‐augmented LLM solutions to automate complex, multi‐step processes.
  • Ensure solutions are reliable, explainable, and governed for enterprise use.
  • Scalable & Responsible AI
  • Collaborate with engineering teams to deploy AI solutions with scalability, security, and performance in mind.
  • Implement evaluation, monitoring, and guardrails for LLM and agentic systems, including bias, drift, and failure modes.
  • Align solutions with enterprise risk management, compliance, and responsible AI standards.
  • Thought Leadership & Collaboration
  • Act as a trusted AI advisor, helping teams understand where Agentic AI and LLMs add value—and where they do not.
  • Contribute to AI best practices, reusable patterns, and strategic direction.
  • Mentor peers and teammates on applied AI and business‐driven problem solving.

Qualifications:

  • Agentic AI: Experience designing AI agents that reason, plan, and act across systems.
  • Large Language Models (LLMs): Hands‐on experience building enterprise LLM applications (e.g., RAG, tool use, orchestration, evaluation).
  • Natural Language Processing (NLP): Strong experience working with unstructured text and language‐driven workflows.
  • MS or PhD in Computer Science, Machine Learning, Data Science, or a related quantitative field.
  • 3+ years delivering AI/ML solutions in production environments.
  • 5+ years of hands‐on Python experience; experience with distributed data processing is a plus.
  • Strong ability to solve business problems using AI, not just build models.
  • Excellent communication skills, with the ability to explain complex concepts to both technical and non‐technical audiences.
  • Experience working in cross‐functional, enterprise environments.
  • Special Factors
  • Sponsorship
  • 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.

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