Senior Vice President, Forward Deployed Engineer

About the role

BNY is seeking a Forward Deployed Engineer to join the Engineering Hub Team in New York City or Pittsburgh, PA. As a leading global financial services company, BNY influences nearly 20% of the world’s investible assets and is recognized as a top destination for innovators. This role embeds you with business and platform stakeholders to deliver AI-first solutions that redefine industries and uplift communities.

Responsibilities

• Embed with business and platform stakeholders to scope and execute time-boxed FDE engagements with clear entry and exit criteria; translate defined opportunities into production-ready delivery plans.
• Design, build, and harden AI-first solutions across data, APIs, services, and workflow integrations, moving from prototype to secure, scalable production deployment.
• Default to reuse-first delivery: extend existing platforms, templates, and modules rather than building avoidable one-offs; contribute reusable code and patterns back to shared repositories.
• Execute discovery with operating teams and sponsors to clarify constraints, validate feasibility, and rapidly prototype before hardening into production.
• Surface patterns and learnings from engagements that can be standardized and promoted into shared platform capabilities.
• Apply secure-by-default practices consistently; incorporate observability, testability, and operational readiness into every solution delivered.
• Prepare clear handoff packages and transition plans so owning teams can sustain solutions independently after forward deployment ends.
• Operate within the FDE playbook and contribute feedback to refine standards, handoff criteria, and working norms based on field experience.
• Coordinate with control, architecture, security, and compliance stakeholders to keep solutions production-appropriate and governance-compliant.
• Program well-designed, testable, efficient code; actively participate in code reviews and maintain software functionality while managing technical debt.
• Apply security and privacy principles throughout the software development lifecycle.
• Mentor junior engineers; engage in active learning, complete mandatory training, and stay abreast of emerging technologies.

Requirements

• Bachelor's degree in computer science, engineering, or a related discipline, or equivalent work experience.
• 10–14 years of hands-on software development experience, including direct delivery of production systems; experience in the securities or financial services industry is a plus.
• Strong foundational understanding of modern AI and agentic application patterns, including retrieval-augmented generation (RAG), semantic search, and agent-based system design.
• Hands-on experience building backend services, APIs, and production systems.
• Experience working across architecture, data, and platform concerns rather than only within a narrow layer.

Preferred Qualifications

• Experience delivering AI, data, BPM process orchestration, or workflow-heavy solutions in regulated environments.
• Strong systems-thinking and architecture judgment across services, data, and infrastructure.
• Comfort operating in ambiguity and driving discovery with senior stakeholders.
• Experience balancing speed with governance, security, and operational rigor.
• Familiarity with reusable platform patterns, internal developer platforms, or productized infrastructure.
• Experience with observability, evaluation, and day-2 production ownership practices.

Skills

Technical Skills

• Strong software engineering skills in one or more of: Java, TypeScript/JavaScript, Python.
• Experience with APIs, service integration, and secure-by-default engineering practices.
• Ability to work across data, AI, workflow, and platform layers as needed.
• Hands-on data engineering experience with modern data platforms such as Snowflake, Databricks, or comparable cloud-scale data ecosystems.
• Working knowledge of data governance practices, including data quality, lineage, access controls, metadata management, and policy-aligned data usage.
• Comfort using modern AI tooling pragmatically without confusing prototypes for production systems.
• Familiarity with application frameworks and containerization.

Non-Technical Skills

• Strong written and verbal communication across technical and non-technical audiences.
• Clear product and delivery judgment within a scoped engagement.
• Ability to coordinate and execute across stakeholders without formal authority.
• Practical tradeoff thinking under real constraints.
• Bias toward action with disciplined follow-through.

People Leadership

• Mentors junior engineers within engagements; contributes to team delivery quality and knowledge sharing.

Benefits

BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and a pay-for-performance philosophy. Benefits include:

• Access to flexible global resources and tools for your life’s journey.
• Focus on health, personal resilience, and financial goals.
• Generous paid leaves, including paid volunteer time, to support you and your family through important moments.

Pay

The base salary for this position is expected to be between $104,000 and $210,000 per year at the commencement of employment, determined based on experience and market location. This is part of a total compensation package that may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and Company-sponsored benefit programs.