Director, AI / Machine Learning Software Engineer

Position Overview

At BNY, our inclusive culture fosters innovation, driving growth for both the company and its employees. As a leading global financial services firm influencing nearly 20% of the world's investible assets, we leverage cutting‑edge AI and breakthrough technologies to redefine industries. We are seeking a Director, AI / Machine Learning Software Engineer to join our AI HUB team in Pittsburgh, PA. In this role, you will lead research initiatives, provide strategic direction on AI architecture, and integrate ML/AI across applications to drive transformative solutions.

Key Responsibilities

• Lead research initiatives, provide strategic direction on AI architecture and technical expertise, and design approaches for ML and AI products.
• Apply deep knowledge of AI and Machine Learning with practical applications of ML/AI concepts.
• Conduct technical research studies to inform strategic decisions.
• Establish strong relationships with internal teams to develop comprehensive success measurement plans.
• Provide expertise in integrating ML/AI across existing and modified applications.
• Collaborate with leaders and teams to align strategies and data science products with business objectives.
• Stay abreast of emerging technologies and participate in industry conferences and research initiatives.
• Mentor and develop a high‑performing team of machine learning engineers while contributing to application development objectives.

Required Qualifications

• Advanced degree in STEM engineering or equivalent AI/ML research work experience.
• 8+ years of related experience; experience in the securities or financial services industry is a plus.
• Strong knowledge of data structures, algorithms, and software engineering fundamentals.
• Proven experience with modern ML frameworks in Python, such as Pytorch and Numpy.
• Solid understanding of clean code practices.
• Ability to communicate technical ideas and complex concepts to diverse audiences.
• Experience in designing end‑to‑end pipelines with MLOps.
• Proficiency with SQL, Spark, Airflow, and designing data pipelines for real‑time financial data.
• Experience in AI, Machine Learning, Reinforcement Learning, and Natural Language Processing.

Benefits & Perks

• Highly competitive compensation, benefits, and wellbeing programs rooted in a culture of excellence and pay‑for‑performance.
• Access to flexible global resources and tools designed to support your personal and professional journey.
• Opportunities to focus on your health, build personal resilience, and achieve your financial goals.
• Generous paid leaves, including paid volunteer time, to support you and your family during important moments.