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 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.
- 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 FactorsSponsorshipVanguard is not offering visa sponsorship for this position.
How We WorkVanguard 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.
