Director, AI / Machine Learning Software Engineer

At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.

Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.

We’re seeking a future team member for the role of Senior Director, Engineering Technology Partnerships to join our Engineering team. This role location is Jersey City.

Role Summary

We are seeking a Director, Polyglot Builder—a highly versatile engineer who can design, build, and scale systems across multiple programming languages, frameworks, and platforms. This role sits at the intersection of engineering excellence, rapid prototyping, and platform thinking, enabling faster delivery of complex, cross-stack solutions.

Core Responsibilities

• Design and develop end-to-end solutions across backend, frontend, data, and infrastructure layers
• Write and maintain production-grade code in multiple languages (e.g., Java, Python, Go, Typescript, Rust)
• Build reusable components, services, and internal tools to accelerate engineering velocity
• Architect microservices and distributed systems with scalability, resilience, and observability in mind
• Partner with product, platform, and infrastructure teams to translate ambiguous requirements into working systems
• Rapidly prototype new ideas and industrialize them into production-ready solutions
• Drive best practices across code quality, security, testing, and performance optimization
• Mentor engineers and promote a multi-language, multi-stack engineering mindset

Required Qualifications

• 15+ years of software engineering experience (level-dependent)
• Proven expertise in at least 2–3 programming languages across different ecosystems
• Strong experience with cloud platforms (AWS, Azure, or GCP)
• Hands-on experience with APIs, microservices, and distributed architectures
• Familiarity with databases (SQL and NoSQL) and data pipelines
• Strong understanding of DevOps, CI/CD, and containerization (Docker/Kubernetes)
• Ability to switch contexts and languages quickly without compromising quality

Preferred Qualifications

• Experience building internal developer platforms or frameworks
• Exposure to AI/ML pipelines or data-intensive systems
• Strong understanding of event-driven architectures and streaming systems
• Contributions to open-source or multi-language codebases
• Experience operating in high-scale, regulated environments (e.g., financial services)

Key Competencies

• Polyglot mindset: Fluent across languages, tools, and paradigms
• Systems thinking: Connects components into cohesive architectures
• Execution speed: Balances rapid build with production rigor
• Abstraction skills: Builds reusable, extensible systems
• Adaptability: Thrives in evolving tech stacks and problem spaces
• Focus: Organizational capability building
• Scope: Builds teams optimized for polyglot execution
• Impact: Drives enterprise-wide engineering agility and reuse

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