Job Description

Salary: $120,000 - 160,000 per year Requirements:

• We need proven experience designing Agentic AI systems that can reason, plan, and act across multiple systems.
• We require hands-on experience building enterprise LLM applications, including RAG, tool use, orchestration, and evaluation.
• We are looking for strong NLP experience working with unstructured text and language-driven workflows.
• We require an MS or PhD in Computer Science, Machine Learning, Data Science, or a related quantitative field.
• We need 3+ years of experience delivering AI/ML solutions in production environments.
• We require 5+ years of hands-on Python experience; distributed data processing experience is a plus.
• We value a strong ability to solve business problems with AI, not just build models.
• We need excellent communication skills with the ability to explain complex concepts to technical and non-technical audiences.
• We require experience working in cross-functional enterprise environments.

• We partner with business stakeholders to identify, define, and prioritize high-value problems that can be addressed with Agentic AI, LLMs, and NLP.
• We translate business needs into clear AI use cases, success measures, and delivery plans.
• We keep our focus on business outcomes rather than model performance alone.
• We architect and develop agentic AI systems that can reason, plan, and take action across tools, workflows, and data sources.
• We design multi-agent and tool-augmented LLM solutions to automate complex, multi-step processes.
• We ensure our solutions are reliable, explainable, and governed for enterprise use.
• We collaborate with engineering teams to deploy AI solutions with scalability, security, and performance in mind.
• We implement evaluation, monitoring, and guardrails for LLM and agentic systems, including bias, drift, and failure modes.
• We align our solutions with enterprise risk management, compliance, and responsible AI standards.
• We act as trusted AI advisors, helping teams understand where Agentic AI and LLMs add value and where they do not.
• We contribute to AI best practices, reusable patterns, and strategic direction.
• We mentor peers and teammates on applied AI and business-driven problem solving.

• Agentic AI
• AI
• Architect
• Support
• LLM
• Machine Learning
• Python
• RAG
• Security
• AI Agents

More:

We are collaborating with Vanguard to connect them with exceptional professionals for this role. We are seeking a Senior AI/ML/Data Scientist / Applied AI Leader with deep expertise in Agentic AI, Large Language Models, and Natural Language Processing to solve high-impact business problems using advanced AI capabilities. This role is not focused on experimentation alone. We lead the transformation of complex, ambiguous business challenges into scalable, production-ready AI solutions that deliver measurable outcomes, including improved efficiency, reduced risk, stronger fraud and cyber security protection, better decision making, and enhanced client experiences. We work closely with product, risk, operations, and technology partners to embed AI directly into enterprise workflows, ensuring solutions are practical, trusted, and adopted. Vanguard offers visa sponsorship for this position. Our mission is to support the long-term financial wellbeing of our clients, and we operate with a hybrid working model for most crew members to balance flexibility with in-person learning, collaboration, and connection. Our mission-driven, highly collaborative culture supports strong client outcomes and a positive employee experience.

last updated 37 week of 2026

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