Senior AI/ML Scientist

Talentify; Charlotte (NC); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Vanguard is seeking a senior AI/ML Engineer to design and deploy Agentic AI and enterprise LLM solutions that drive business outcomes. You will build scalable knowledge systems, integrate multi-source data, and collaborate with stakeholders to solve high-value problems.

You will lead the development of AI systems that can reason, plan, and act across tools and data, while ensuring reliability, governance, and explainability in an enterprise setting.

Qualifications

• Agentic AI: design AI agents that reason, plan and act across systems.
• LLMs: hands-on enterprise LLM apps (RAG, tool use, orchestration, evaluation).
• NLP: unstructured text and language-driven workflows.
• ML: gradient boosting, tuning & interpretability options.
• MS or PhD in Computer Science, ML, Data Science, or related field.
• 3+ years delivering AI/ML in production.
• 5+ years Python experience; distributed data processing a plus.
• Strong ability to solve business problems with AI, not just models.
• Excellent communication, with ability to explain complex concepts to technical and non-technical audiences.
• Experience in cross-functional, enterprise environments.

Responsibilities

• Design and build advanced ML models integrating multi-dimensional data into insights and signals.
• Design and build enterprise knowledge systems integrating structured/unstructured data for AI agents to retrieve and reason over knowledge.
• Partner with stakeholders to identify high-value problems for Agentic AI, LLMs, and ML.
• Define evaluation frameworks measuring coverage, relevance, trustworthiness, explainability and adoption.
• Focus on business outcomes, not just model performance.
• Architect and develop agentic AI systems that can reason, plan, and act across tools, workflows, and data sources.
• Design multi-agent and tool-augmented LLM solutions to automate complex processes.
• Ensure solutions are reliable, explainable, and enterprise-governed.

Skills

Agentic AI

LLMs

NLP

Python

Production ML

Cross-functional

Communication

Education

MS/PhD in CS/ML/DS

Job description

Responsibilities:

• 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.


• 0Strong 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.