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NEXTMOVEFDE careers · United States

Data Scientist, Specialist

AI summary of the role

Vanguard seeks a Data Scientist Specialist to design and build agentic AI systems using LLMs and NLP, partnering with business stakeholders to solve high-value problems.

No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.

What you’ll do

  • Partner with business stakeholders to identify, frame, and prioritize high-value problems using Agentic AI, LLMs, and NLP.
  • Architect and develop agentic AI systems that reason, plan, and act across tools, workflows, and data sources.
  • Design multi-agent and tool-augmented LLM solutions to automate complex, multi-step processes.
  • Collaborate with engineering teams to deploy AI solutions with scalability, security, and performance in mind.

What you’ll bring

  • Experience designing AI agents that reason, plan, and act across systems.
  • Hands-on experience building enterprise LLM applications (e.g., RAG, tool use, orchestration, evaluation).
  • MS or PhD in Computer Science, Machine Learning, Data Science, or related quantitative field.
  • 3+ years delivering AI/ML solutions in production environments.

Technologies

Agentic AI · LLMs · NLP · RAG · Python · distributed data processing

About Vanguard

Investor-owned asset manager offering low-cost funds, ETFs, advice, and retirement services to individual, advisor, workplace, and institutional clients.

Bootstrapped · 5000+ people

Source and classification

Internal deployment & tooling · Evidence for this classification:

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,
More from the job description

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 th [... source excerpt omitted ...] ctured 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 Vanguard is offering visa sponsorship for this position. About Vanguard At Vanguard, we do [... source excerpt omitted ...] ibility 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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