5 дней назад
Vice President-Software Engineering (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Vice President-Software Engineering (AI): Building scalable cloud-native applications, AI-enabled workflows, and financial metric platforms on AWS for Goldman Sachs’ global operations with an accent on greenfield development, enterprise architecture, and data solutions. Focus on leading engineering teams, integrating LLMs, driving organizational change, and delivering complex systems in a regulated financial environment.
Location: Dallas, TX, United States; onsite office location
Company
develops and operates engineering, data, analytics, quantitative, and AI platforms supporting the firm’s core financial, risk, reporting, compliance, treasury, and workforce operations.
What you will do
- Design and implement scalable cloud-native business systems and modern applications on AWS.
- Lead greenfield development for the OneGS transformation initiative, from deterministic automation to agentic workflows.
- Manage, mentor, and grow software and AI engineering teams while promoting technical excellence.
- Run AI-driven, specification-driven software development lifecycles to solve complex financial and technical problems.
- Build financial metric calculation models and supporting infrastructure for business strategy and decision-making.
- Coordinate multiple projects and stakeholders across Engineering, Risk, Finance, and other global divisions.
Requirements
- Bachelor’s or master’s degree in computer science or a related technical discipline.
- 8–12 years of hands-on software development experience, including lead developer responsibilities.
- Experience architecting cloud solutions using AWS, GCP, or Azure and building new applications from scratch.
- Experience integrating LLMs into enterprise workflows and using AI coding tools such as Copilot or Claude Code.
- Strong development experience in Java or Python, with traditional and/or modern data stores such as Snowflake, DynamoDB, or MongoDB.
- Experience with full-stack technical design, engineering team management, performance reviews, career development, and organizational change.
Nice to have
- Previous experience in finance, banking, or FinTech.
- Familiarity with financial data and regulatory environments.
Culture & Benefits
- Work within a centralized engineering structure supporting consistent governance and scalable solutions.
- Collaborate with colleagues and senior management across global business, Risk, Finance, and Engineering divisions.
- Promote continuous learning, collaboration, technical excellence, and adoption of modern engineering practices.
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