Artificial Intelligence Scientist IV

Capital Group•Los Angeles, CA

4d•Hybrid

About The Position

As an Artificial Intelligence Scientist IV, you will play a pivotal role in shaping the future of AI at Capital Group and help to establish the GenAI strategy for the Client Group. Your command of cutting-edge technology and expertise in Deep Neural Networks and Generative AI will be instrumental in bringing our visionary solutions to life, delivering groundbreaking applications that will set new standards across the asset management industry. This includes researching and developing scalable applications using Large Language Models (LLMs) and Agentic AI, such as conversational assistants to retrieve information about mutual fund products or market insights and guide clients through investment decisions. As an independent researcher, you will provide thought leadership in discussions with product and technical leaders to transform business and product visions into groundbreaking AI applications that would help CG remain leaders in asset management. You can analyze behavioral data, market news, and economic trends to personalize investment outcomes, and develop AI tools that help sales, marketing, and service teams offer relevant solutions to financial advisors. You will design and review AI solutions with a focus on excellence, scalability, employing best practices for data management, model development, and evaluation to ensure the highest quality outcomes. You will independently drive AI research and innovation with high conviction, collaborating with other scientists and engineers to develop and publish new industry leading ideas, and mentor a talented team of both junior and senior applied scientists, fostering growth and nurturing the next generation of AI leaders.

Requirements

MS in Computer Science, Artificial Intelligence, Machine Learning, or related technical field.
At least 10 years of relevant work experience, including asset management industry experience or as a Researcher in a lab.
Practical experience with the latest advancements in Large Language Models (LLM) and generative AI technology including RAG, including parameter-efficient fine-tuning, instruction fine-tuning, advanced prompt engineering, and Agentic AI frameworks.
Deep technical knowledge of Machine Learning and Deep Learning architectures, such as Transformers, training methodologies, and optimization techniques.
Commitment to staying current with the latest advancements in the field, applying cutting-edge academic research to solve complex business challenges, and successfully bringing innovative solutions into production.
Experience working effectively with software engineering teams.
Contribution to research communities.
Published papers/blog articles related to machine learning.

Nice To Haves

PhD is preferred.

Responsibilities

Researching and developing scalable applications using Large Language Models (LLMs) and Agentic AI.
Providing thought leadership in discussions with product and technical leaders to transform business and product visions into groundbreaking AI applications.
Analyzing behavioral data, market news, and economic trends to personalize investment outcomes.
Developing AI tools that help sales, marketing, and service teams offer relevant solutions to financial advisors.
Designing and reviewing AI solutions with a focus on excellence, scalability, employing best practices for data management, model development, and evaluation.
Independently driving AI research and innovation with high conviction.
Collaborating with other scientists and engineers to develop and publish new industry leading ideas.
Mentoring a talented team of both junior and senior applied scientists.