Director, AI / Machine Learning Software Engineer

Aimlroles; Jersey City (NJ); On-site; USD 147,000 - 240,000; Full time

Job summary

BNY is seeking an AI Ops leader to define and drive the strategy for AI Garage in Investments & Wealth. You will establish standards for deploying and monitoring AI/ML solutions in production and provide technical leadership across the full AI lifecycle.

The role requires deep expertise in cloud platforms, CI/CD, and observability, with a focus on reliability, security, and enterprise governance in a regulated setting.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related technical field; advanced degree preferred.
• Significant experience in software engineering, ML engineering, AI/ML operations, or SRE.
• Proven experience leading enterprise-scale AI/ML production operations in a regulated environment.

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 AI lifecycle from development to deployment and operations.

Skills

Leadership

Cloud platforms

CI/CD

Automation

Observability

Communicate effectively

Education

Bachelor’s degree in Computer Science, Engineering, or related field

Advanced degree preferred

Tools

Infrastructure as Code

Observability tools

CI/CD pipelines

Job description

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.

BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $147,000 and$240,000peryearat the commencement of employment. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNY total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and company- sponsored benefit programs.

This position is at-will and the Company reserves the right to modify base (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual department/team.