Responsibilities:
Solve Business Problems with AI
- Partner with business stakeholders toidentify, frame, and prioritize highvalue problems that can be addressed using Agentic AI, LLMs, and NLP.
- Translate business needs intoclear AI use cases, success metrics, and delivery plans.
- Focus onbusiness outcomes, not just model performance.
Design & Build Agentic AI Solutions
- Architect and developagentic 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 arereliable, explainable, and governed for enterprise use.
Scalable & Responsible AI
- Collaborate with engineering teams to deploy AI solutions withscalability, 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 atrusted 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 tosolve 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 offering visa sponsorship for this position.