Role Overview
This position leads the creation of robust and ethical AI systems that transform financial services. You'll drive innovation by building core AI technologies that improve how customers and employees interact with banking platforms.
Key Responsibilities
- Collaborate with engineers, researchers, product teams, and program managers to deliver AI-driven solutions that enhance user experiences.
- Build, test, deploy, and maintain AI components such as foundation model training, LLM inference, vector search, safety guardrails, model evaluation, and monitoring systems.
- Utilize open-source and SaaS AI tools including AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, and PyTorch.
- Develop and implement advanced optimization methods for large language models to improve scalability, reduce latency, and lower operational costs.
- Help define the long-term technical direction and roadmap for enterprise AI infrastructure.
Required Qualifications
- Bachelor’s degree in Computer Science, AI, Electrical Engineering, or a related field with at least 6 years of experience in AI/ML development, or a Master’s degree with a minimum of 4 years of relevant experience.
- Minimum of 6 years of programming experience using Python, Go, Scala, or Java.
Preferred Qualifications
- 7 years of experience deploying scalable AI systems on cloud platforms such as AWS, Google Cloud, or Azure.
- Proven track record in designing and delivering complex AI solutions across the full lifecycle.
- Experience leading engineering teams and influencing stakeholders across functions.
- Hands-on development with LLM inference, vector databases, guardrails, and memory systems using languages like Python, C++, or Golang.
- Background in optimizing training and inference pipelines for efficiency, throughput, and cost-effectiveness.
- Strong interest in emerging AI research and applying novel techniques in production environments.
- Excellent communication skills with the ability to explain technical AI concepts clearly to diverse audiences.
Technical Environment
Work with a modern AI stack including AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and programming in Python, C++, Java, Golang, or Scala.
Work Model
This role is remote-eligible and open to candidates in New York, NY; San Jose, CA; and other approved remote locations. The position supports flexible work arrangements within a globally distributed team.
Compensation & Benefits
Base salary range: $250,800 – $286,200 for New York, NY and San Jose, CA. Additional performance-based incentives may include cash bonuses and long-term awards. Comprehensive health, financial, and wellness benefits support employee well-being. Ongoing training and professional growth opportunities are supported through a culture of innovation.
Commitment to Inclusion
We are an equal opportunity employer dedicated to creating a diverse, equitable, and inclusive workplace. All qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, disability, or veteran status. Our workplace promotes integrity and compliance with all applicable laws.
