Senior AI/ML Scientist

Vanguard Group, Inc.

• $130K — $155K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Experience designing AI agents that reason, plan, and act across systems.
  • Hands-on experience building enterprise LLM applications (e.g., RAG, tool use, orchestration).
  • Strong background in Natural Language Processing (NLP) with unstructured text.
  • MS or PhD in Computer Science, Machine Learning, Data Science, or related field.
  • 3+ years delivering AI/ML solutions in production environments.
  • 5+ years of hands-on Python experience, with distributed data processing being helpful.
  • Excellent communication skills for technical and non-technical audiences.

Responsibilities

  • Partner with stakeholders to identify and prioritize high-value problems for AI solutions.
  • Translate business needs into AI use cases and delivery plans.
  • Focus on achieving business outcomes beyond just model performance.
  • Architect and develop agentic AI systems for reasoning and planning across tools.
  • Design multi-agent LLM solutions to automate complex processes.
  • Ensure AI solutions are reliable, explainable, and suitable for enterprise use.
  • Collaborate with engineering to deploy scalable and secure AI solutions.

Benefits

  • Opportunity to mentor peers in applied AI and problem-solving.
  • Contribute to AI best practices and strategic direction.
  • Work in a collaborative, cross-functional environment focused on impactful solutions.
  • Engage in thought leadership as a trusted AI advisor within teams.
Full Job Description

Responsibilities:


Solve Business Problems with AI

  • Partner with business stakeholders toidentify, frame, and prioritize highvalue problems that can be addressed using Agentic AI, LLMs, and NLP.
  • Translate business needs intoclear AI use cases, success metrics, and delivery plans.
  • Focus onbusiness outcomes, not just model performance.

Design & Build Agentic AI Solutions

  • Architect and developagentic AI systems that can reason, plan, and take actions across tools, workflows, and data sources.
  • Design multiagent and toolaugmented LLM solutions to automate complex, multistep processes.
  • Ensure solutions arereliable, explainable, and governed for enterprise use.

Scalable & Responsible AI

  • Collaborate with engineering teams to deploy AI solutions withscalability, 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 atrusted AI advisor, helping teams understand where Agentic AI and LLMs add valueand where they do not.
  • Contribute to AI best practices, reusable patterns, and strategic direction.
  • Mentor peers and teammates on applied AI and businessdriven problem solving.

Qualifications:

  • Agentic AI: Experience designing AI agents that reason, plan, and act across systems.
  • Large Language Models (LLMs): Handson experience building enterprise LLM applications (e.g., RAG, tool use, orchestration, evaluation).
  • Natural Language Processing (NLP): Strong experience working with unstructured text and languagedriven 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 handson Python experience; experience with distributed data processing is a plus.
  • Strong ability tosolve business problems using AI, not just build models.
  • Excellent communication skills, with the ability to explain complex concepts to both technical and nontechnical audiences.
  • Experience working in crossfunctional, enterprise environments.

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

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