Senior AI/ML Scientist

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.

Client-provided location(s): Charlotte, NC, Malvern, PA

Job ID: Vanguard-181398

Employment Type: FULL_TIME

Posted: 2026-09-03T21:56:38