BNY fournit des services de conservation de titres, d'administration d'actifs, de paiement et de gestion d'investissements.
Senior Vice President, Forward Deployed Engineer
Am I a fit — voir ma compatibilitéBNY recherche un Senior Vice President, Forward Deployed Engineer pour rejoindre l’équipe FX Execution Services à Manchester. Le poste consiste à concevoir et déployer des solutions intégrant l’IA, les données, les API et les workflows jusqu’en production. Une expérience en développement logiciel ainsi que des compétences en Java, TypeScript/JavaScript ou Python sont recherchées.
Repères sur BNY
- Domaine officiel
- bny.com
- Offres ouvertes
- 124
Détails de l’offre
La description complète publiée par BNY.
We’re seeking a future team member for the role of Vice President, Production Services Application
- Support to join our FX Execution Services team. This role is located in Manchester. In this role, you’ll make an impact in the following ways:
- Embed business and platform stakeholders to scope and execute time-boxed FDE engagements with clear entry and exit criteria; translated 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 rapid prototypes 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:
- Bachelor’s degree in computer science, engineering, or a related discipline, or equivalent work experience.
- Experience in 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.
- 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.
- 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.
- 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.
- Mentor’s junior engineers within engagements; contributes to team delivery quality and knowledge sharing.
Prérequis
- Bachelor’s degree in computer science, engineering, or a related discipline, or equivalent work experience
- hands-on software development experience
- strong written and verbal communication