Director, AI/ML Software Engineer

Salary: $30,000 - 55,000 per year Requirements:

• Bachelors degree in Computer Science, Engineering, or a related technical discipline; an advanced degree is preferred.
• Significant experience in software engineering, machine learning engineering, AI/ML operations, or site reliability engineering.
• Track record 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 in complex production environments.
• Deep understanding of AI/ML lifecycle management, including model deployment, monitoring, governance, and retraining.
• Strong knowledge of production support, incident management, resiliency engineering, and operational controls.
• Ability to influence senior stakeholders, architecture decisions, and cross-functional technical strategy.
• Excellent communication and leadership skills, including the ability to connect engineering and production teams.
• Experience in financial services or another highly regulated industry is preferred.
• Familiarity with governance, risk, and compliance considerations for AI/ML applications is preferred.
• Experience supporting agentic AI solutions, modern ML platforms, and large-scale data pipelines is preferred.
• Knowledge of security, reliability, and performance engineering best practices for AI platforms is preferred.

• Define and lead the AI Ops strategy for our AI Garage for Investments & Wealth.
• Set standards, frameworks, and best practices for deploying, monitoring, and supporting AI/ML solutions in production.
• Provide technical leadership throughout the AI lifecycle, from development and deployment to governance and ongoing operations.
• Automate AI/ML pipelines, model deployment, monitoring, alerting, and incident response processes.
• Build and improve observability frameworks that provide visibility into model performance, data health, system reliability, and operational risks.
• Partner with engineering, platform, infrastructure, data, risk, and production support teams to meet enterprise requirements for resiliency, security, and compliance.
• Establish operational controls and governance processes for AI applications, models, and data pipelines.
• Improve the reliability, scalability, and efficiency of AI-powered applications and platforms in production.
• Influence architecture decisions to support operational excellence in a regulated environment.
• Lead continuous improvement efforts, including incident reviews, root cause analysis, and applying lessons learned to engineering and operations.
• Mentor senior engineers and technical teams in AI Ops, SRE, and production support practices.

• Agentic AI
• AI
• CI/CD
• Cloud
• Incident Management
• Support
• Machine Learning
• Security
• Backbone

More:

We are collaborating with hackajob to connect exceptional professionals with BNY. Our AI Garage for Investments & Wealth is hiring a Director, AI / Machine Learning Software Engineer to provide senior technical leadership and establish enterprise-grade AI Operations capabilities. This role bridges engineering and production, helping ensure our AI applications, agentic solutions, models, data pipelines, and platforms can be operated reliably, securely, and responsibly in a highly regulated financial services environment. You will help shape the operational foundation for AI across Investments & Wealth, influence broader enterprise standards, and advance innovation in a critical growth area.

last updated 41 week of 2026