What You’ll Do
- Identify high-value AI/ML use cases with stakeholders and translate business needs into solution approaches, success metrics, and delivery plans
- Develop and support AI/ML solutions using machine learning, NLP, Generative AI, and LLM-based approaches such as retrieval-augmented generation and agentic workflow automation
- Collaborate across data science and engineering teams to deploy scalable solutions with appropriate evaluation, monitoring, guardrails, and alignment to enterprise risk and responsible AI standards
- Communicate technical concepts clearly to technical and non-technical stakeholders
Required Qualifications
- Undergraduate degree or equivalent experience in Computer Science, Statistics, Machine Learning, Data Science, Electrical Engineering, or a related field; graduate degree preferred
- 1 to 2 years of experience developing and implementing AI/ML solutions or projects, with experience applying machine learning, LLMs, NLP, and data science techniques to business problems
- Strong foundation in machine learning and statistical methods, including regression, clustering, decision trees, neural networks, deep learning, and supervised and unsupervised learning
- Experience with tools such as TensorFlow, PyTorch, scikit-learn, NLP libraries, or similar technologies, plus strong technical knowledge of cloud, big data, scalable data processing, SQL, and NoSQL databases
- Strong communication skills and ability to work effectively in cross-functional environments
What Success Looks Like
- AI/ML solutions deliver measurable business value in real workflows
- LLM and Agentic capabilities are applied to practical use cases
- Business partners see you as a strong problem solver and collaborative technical partner
Special Factors
Sponsorship
Vanguard is not offering visa sponsorship for this position.
