
at BNY Mellon
Asset ManagementPosted 14 days ago
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**Role:** Senior Vice President, Forward Deployed Engineer - Lead FDE engagements, scoping, and executing deliverables with clear entry and exit criteria - Design, build, and secure AI-first solutions across data, APIs, services, and workflow integrations - Default to reuse-first delivery, extend existing platforms, and contribute reusable code and patterns - Collaborate cross-functionally to unlock patterns surfaced from engagements and drive shared platform capabilities - Coordinate with stakeholders to ensure solutions align with production standards and governance - Demonstrate strong software engineering skills in Java, TypeScript/JavaScript, Python, and modern AI tools - Bring 10-14 years of hands-on software development experience, with an SVP-level understanding of modern AI patterns - Lead efforts in New York City, driving results with teams and influencers across BNY Mellon
- Compensation
- $104,000 – $210,000 USD
- City
- New York City
- Country
- United States
Currency: $ (USD)
Full Job Description
In this role, you'll make an impact in the following ways:
- 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 confidently 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 where useful 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.
To be successful in this role, we're seeking the following:
Basic Qualifications
- Bachelor's degree in computer science, engineering, or a related discipline, or equivalent work experience.
- 1014 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, 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.
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.
- 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.
Americas Most Innovative Companies, Fortune, 2025
Worlds Most Admired Companies, Fortune 2025
Most Just Companies, Just Capital and CNBC, 2025
Our Benefits and Rewards:
BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $104,000 and $210,000 per year at 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 salary (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 performance, and market factors.
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Senior Vice President, Forward Deployed Engineer
Compensation
$104,000 – $210,000 USD
City: New York City
Country: United States

**Role:** Senior Vice President, Forward Deployed Engineer - Lead FDE engagements, scoping, and executing deliverables with clear entry and exit criteria - Design, build, and secure AI-first solutions across data, APIs, services, and workflow integrations - Default to reuse-first delivery, extend existing platforms, and contribute reusable code and patterns - Collaborate cross-functionally to unlock patterns surfaced from engagements and drive shared platform capabilities - Coordinate with stakeholders to ensure solutions align with production standards and governance - Demonstrate strong software engineering skills in Java, TypeScript/JavaScript, Python, and modern AI tools - Bring 10-14 years of hands-on software development experience, with an SVP-level understanding of modern AI patterns - Lead efforts in New York City, driving results with teams and influencers across BNY Mellon
Full Job Description
In this role, you'll make an impact in the following ways:
- 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 confidently 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 where useful 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.
To be successful in this role, we're seeking the following:
Basic Qualifications
- Bachelor's degree in computer science, engineering, or a related discipline, or equivalent work experience.
- 1014 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, 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.
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.
- 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.
Americas Most Innovative Companies, Fortune, 2025
Worlds Most Admired Companies, Fortune 2025
Most Just Companies, Just Capital and CNBC, 2025
Our Benefits and Rewards:
BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $104,000 and $210,000 per year at 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 salary (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 performance, and market factors.
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