Senior AI/ML Scientist

Vanguard; Malvern (Chester County); Hybrid; USD 140,000 - 200,000; Full time

Job summary

Vanguard in Malvern, PA is seeking a senior AI/ML leader to design Agentic AI solutions that reason, plan, and act across enterprise systems. You will develop multi-agent, multi-tool LLM apps that drive critical business decisions.

You will work with cross-functional teams to identify high-value AI problems, build scalable models, and implement governance, safety, and explainability standards across the AI lifecycle.

Qualifications

• Agentic AI: design AI agents that reason, plan, and act across systems.
• LLMs: build enterprise LLM apps (RAG, tool use, orchestration, evaluation).
• NLP: strong in unstructured text and language-driven workflows.
• ML: gradient boosting, hyperparameter tuning, interpretability options.
• MS/PhD in CS, ML, DS or related field.
• 3+ years delivering AI/ML in production environments.

Responsibilities

• Solve business problems with AI and ML.
• Design and build advanced ML models integrating multi-dimensional data.
• Create enterprise knowledge systems enabling AI agents to reason and act.
• Partner with stakeholders to prioritize high-value AI problems.
• Define evaluation frameworks for coverage, trust, explainability, and adoption.
• Collaborate with engineering to deploy scalable AI solutions.

Skills

Agentic AI

LLMs

NLP

ML

Python

AI/ML production

Cross-functional collaboration

Education

MS or PhD in Computer Science, ML, Data Science, or related field

3+ years delivering AI/ML in production

Job description

Responsibilities:

• Solve Business Problems with AI


• Design and build advanced ML models that integrate multi-dimensional data into insights and signals that drive critical business decisions.


• Design and build enterprise knowledge systems that integrate structured and unstructured data across multiple business platforms, enabling AI agents to retrieve, reason over, and operationalize trusted organizational knowledge.


• Partner with business stakeholders to identify, frame, and prioritize high ‑ value problems that can be addressed using Agentic AI, LLMs, and ML .


• Define and implement business‑centric evaluation frameworks that measure coverage, relevance, trustworthiness, explainability, and user adoption in addition to technical model performance.


• 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.


• ML: Hands on experience with Gradient Boosting methods, familiar with preeminent hyper-parameter tuning and interpretability options.


• 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.


• 0 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

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.