LOG IN
SIGN UP
Canary Wharfian - Online Investment Banking & Finance Community.
Sign In
Forgot password?
Don't have an account?
or
Join Canary Wharfian
By signing up, you agree to our Terms & Conditions and Privacy Policy.
or

Senior AI/ML Scientist

ExperiencedVisa sponsorship available
Vanguard logo

at Vanguard

Asset Management

Posted 7 days ago

No clicks

**Senior AI/ML Scientist** leads transformation of complex business challenges into scalable, production-ready AI solutions. Applies deep expertise in Agentic AI, Large Language Models (LLMs), and NLP to solve high-impact problems and drive measurable business outcomes. Partners with business, product, and tech teams to embed AI directly into enterprise workflows. Key responsibilities include solving business problems with AI, designing and building agentic AI solutions, scalable and responsible AI, and thought leadership. Requires strong experience in Agentic AI, LLMs, NLP, Python, and delivery of AI/ML solutions in production environments. PhD in relevant field and 3+ years of AI/ML solution delivery experience is preferred.

Compensation
Not specified

Currency: Not specified

City
Dallas
Country
United States

Full Job Description

We are seeking a Senior AI/ML/Data Scientist / Applied AI Leader with deep expertise in Agentic AI, Large Language Models (LLMs), and Natural Language Processing (NLP) to solve high impact business problems using advanced AI capabilities. This role is not focused on experimentation alone. You will lead the transformation of complex, ambiguous business challenges into scalable, production ready AI solutions that deliver measurable business outcomes, including improved efficiency, reduced risk, stronger fraud and cyber security protection, better decision making, and enhanced client experiences. You will work closely with product, risk, operations, and technology partners to embed AI directly into enterprise workflows, ensuring solutions are practical, trusted, and adopted.

Responsibilities:


Solve Business Problems with AI

  • Partner with business stakeholders to identify, frame, and prioritize highvalue 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 multiagent and toolaugmented LLM solutions to automate complex, multistep 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 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 to solve 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.

About Vanguard

At Vanguard, we don't just have a missionwe'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.

Senior AI/ML Scientist

Compensation

Not specified

City: Dallas

Country: United States

Vanguard logo
Asset Management

7 days ago

No clicks

at Vanguard

ExperiencedVisa sponsorship available

**Senior AI/ML Scientist** leads transformation of complex business challenges into scalable, production-ready AI solutions. Applies deep expertise in Agentic AI, Large Language Models (LLMs), and NLP to solve high-impact problems and drive measurable business outcomes. Partners with business, product, and tech teams to embed AI directly into enterprise workflows. Key responsibilities include solving business problems with AI, designing and building agentic AI solutions, scalable and responsible AI, and thought leadership. Requires strong experience in Agentic AI, LLMs, NLP, Python, and delivery of AI/ML solutions in production environments. PhD in relevant field and 3+ years of AI/ML solution delivery experience is preferred.

Full Job Description

We are seeking a Senior AI/ML/Data Scientist / Applied AI Leader with deep expertise in Agentic AI, Large Language Models (LLMs), and Natural Language Processing (NLP) to solve high impact business problems using advanced AI capabilities. This role is not focused on experimentation alone. You will lead the transformation of complex, ambiguous business challenges into scalable, production ready AI solutions that deliver measurable business outcomes, including improved efficiency, reduced risk, stronger fraud and cyber security protection, better decision making, and enhanced client experiences. You will work closely with product, risk, operations, and technology partners to embed AI directly into enterprise workflows, ensuring solutions are practical, trusted, and adopted.

Responsibilities:


Solve Business Problems with AI

  • Partner with business stakeholders to identify, frame, and prioritize highvalue 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 multiagent and toolaugmented LLM solutions to automate complex, multistep 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 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 to solve 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.

About Vanguard

At Vanguard, we don't just have a missionwe'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.