The firm is seeking to solve business problems by building, deploying, and scaling agentic AI systems, large language models, and intelligent automation solutions to reshape how the firm operates, serves customers, and drives growth.
Requirements
- PhD with 2+ years of experience OR have a Master's degree with 4+ years of experience in Statistics, Computer Science, Engineering, Applied mathematics or related field
- 3+ years of hands-on AI modeling/development experience
- Strong theoretical foundations in probability & statistics
- Strong programming skills in Python including PyTorch, Tensorflow, LangGraph
- Solid background in machine learning algorithms, optimization, and statistical modeling
Responsibilities
- Design and deploy Agentic AI solutions to automate complex business workflows, enhance decision-making, and improve customer and employee experiences.
- Operationalize cutting-edge LLMs and generative AI to process and understand unstructured data such as contracts, claims, medical records, and customer interactions.
- Build autonomous agents and multi-step reasoning systems that integrate with the firm’s core platforms to deliver measurable business impact.
- Partner with data engineers and AIOps teams to ensure AI models are production-ready, scalable, and robust, from prototype to enterprise deployment.
- Translate research in agentic AI, reinforcement learning, and reasoning into practical solutions that support underwriting, claims automation, customer servicing, and risk assessment.
- Collaborate with product owners, engineers, and business leaders to define use cases, design solutions, and measure ROI.
- Contribute to the Data Science Lab by establishing repeatable frameworks for developing, testing, and deploying agentic AI solutions.
Other
- Passionate about pushing the frontier of AI while applying it to solve real-world business problems.
- Comfortable working in multi-disciplinary teams and engaging with senior business leaders to align AI solutions with enterprise goals.
- Excellent communication skills and ability to work and collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level
- Proven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success
- Must possess a green card or be of citizenship. No Visa entanglements and no H1-B holding company submittals.
