A bank with under $200 billion in AUM is seeking a Senior AI Engineer to lead the design, development, and deployment of AI and Generative AI solutions within a financial services environment. This role will drive the adoption of enterprise AI capabilities that improve operational efficiency, decision-making, risk management, customer outcomes, and workforce productivity.
Location: Los Angeles (or Dallas, Houston or New York City)
Salary: Up to 270k base
Visa sponsorship is NOT AVAILABLE
Responsibilities:
- Design, build, and deploy AI-powered applications and services for business and operational use cases.
- Architect solutions leveraging large language models, semantic search, retrieval systems, intelligent workflows, and human oversight controls.
- Develop scalable APIs, cloud-native services, and data-driven applications using modern software engineering practices.
- Integrate AI capabilities into enterprise platforms, business processes, automation initiatives, and analytics solutions.
- Establish standards for software delivery, testing, monitoring, security, governance, and responsible AI.
- Partner with business, technology, risk, compliance, and security stakeholders to deliver secure and compliant solutions.
- Evaluate emerging AI technologies and provide technical leadership and mentoring
Qualifications:
- Degree in Computer Science, Engineering, Data Science, AI, or related field.
- Extensive experience in software engineering, data platforms, AI/ML, or enterprise technology leadership.
- Strong hands-on experience with Python, APIs, cloud platforms, distributed systems, data engineering, and secure application development.
- Experience with LLMs, retrieval-based architectures, vector search, AI orchestration frameworks, model evaluation, and AI governance.
- Proven experience delivering technology solutions from concept through production.
- Experience in banking, financial services, fintech, insurance, or another highly regulated industry.
- Strong stakeholder management, leadership, and communication skills.
Preferred
- Advanced degree and experience establishing AI engineering practices, platforms, and high-performing technical teams.
