Education: Doctorate or related field
Experience: 5+ years
- 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.
- 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.
- 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.
- 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.
- 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.
Sponsorship Vanguard is offering visa sponsorship for this position.
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