Director, AI / Machine Learning Software Engineer
Full Job Posting
Key Responsibilities
- Define and lead the AI Ops strategy for AI Garage for Investments & Wealth.
- Establish standards, frameworks, and best practices for deploying, monitoring, and supporting AI/ML solutions in production.
- Provide technical leadership across the full AI lifecycle, from development through deployment, governance, and ongoing operations.
- Drive automation of AI/ML pipelines, model deployment, monitoring, alerting, and incident response processes.
- Build and enhance observability frameworks to ensure visibility into model performance, data health, system reliability, and operational risks.
- Partner with engineering, platform, infrastructure, data, risk, and production support teams to ensure AI solutions meet enterprise standards for resiliency, security, and compliance.
- Establish operational controls and governance processes for AI applications, models, and data pipelines.
- Lead efforts to improve production reliability, scalability, and efficiency for AI-powered applications and platforms.
- Influence architecture decisions to ensure AI solutions are designed for operational excellence in a regulated environment.
- Drive continuous improvement initiatives, including incident reviews, root cause analysis, and the adoption of lessons learned into engineering and operational practices.
- Mentor and guide senior engineers and technical teams in AI Ops, SRE, and production support best practices.
Required Qualifications
- Bachelor’s degree in Computer Science, Engineering, or a related technical field; advanced degree preferred.
- Significant experience in software engineering, machine learning engineering, AI/ML operations, or site reliability engineering.
- Proven experience leading enterprise-scale AI/ML production operations in a highly regulated environment.
- Strong expertise in cloud platforms, distributed systems, automation, CI/CD, and infrastructure as code.
- Experience with observability, monitoring, logging, and alerting frameworks for complex production environments.
- Deep understanding of AI/ML lifecycle management, including model deployment, monitoring, governance, and retraining processes.
- Strong knowledge of production support, incident management, resiliency engineering, and operational controls.
- Demonstrated ability to influence senior stakeholders, architecture decisions, and cross-functional technical strategy.
- Excellent communication and leadership skills, with the ability to bridge engineering and production teams effectively.
Preferred Qualifications
- Experience within financial services or another highly regulated industry.
- Familiarity with governance, risk, and compliance considerations for AI/ML applications.
- Experience supporting agentic AI solutions, modern ML platforms, and large-scale data pipelines.
- Knowledge of security, reliability, and performance engineering best practices for AI platforms.
- Why Join Us
- This is an opportunity to play a pivotal leadership role in shaping the AI operational backbone for Investments & Wealth. You will help define how AI solutions are reliably brought into production, managed, and scaled, while influencing enterprise-wide standards and advancing innovation in a critical growth area.
- Bachelor’s degree in Computer Science, Engineering, or a related technical field; advanced degree preferred.
About BNY External Career Site
A global financial services platform at the heart of the world's capital markets.
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