YOUR IMPACT
As a Vice President within our Engineering organization, you will lead the design and development of production-grade agentic AI systems that automate complex business and cybersecurity workflows across the firm. You will help establish the architecture, controls, and engineering standards required to safely scale AI-powered automation in a highly regulated environment.
This role requires a strong software engineering foundation, deep understanding of AI systems, and the ability to partner closely with engineering, cybersecurity, and business stakeholders to transform emerging technologies into enterprise solutions that deliver measurable impact.
OUR IMPACT
Engineering is at the heart of Goldman Sachs. We build scalable platforms and technologies that power the firm's global business while maintaining the highest standards of security, reliability, and operational excellence.
Our team is focused on developing next-generation agentic systems and AI-driven platforms that enable intelligent automation, improve operational efficiency, and enhance decision-making across complex enterprise environments.
RESPONSIBILITIES
- Design and develop scalable agentic AI systems capable of reasoning, planning, retrieving information, invoking enterprise tools, and executing complex multi-step workflows.
- Build reusable platform capabilities for orchestration, memory, tool integration, observability, governance, evaluation, and human-in-the-loop controls.
- Define architecture patterns that balance AI-driven reasoning with deterministic software systems, ensuring reliability, transparency, and auditability.
- Partner with cybersecurity, engineering, and business teams to identify automation opportunities and deliver production-ready solutions.
- Develop secure integrations with internal platforms, enterprise data sources, development tooling, and operational workflows.
- Establish testing and evaluation frameworks to measure quality, reliability, performance, and business outcomes.
- Drive engineering best practices across software development, deployment, monitoring, and operational support.
- Mentor engineers and provide technical leadership across multiple initiatives.
BASIC QUALIFICATIONS
- Bachelor's degree in Computer Science, Engineering, or a related technical discipline.
- Extensive experience building and operating large-scale distributed systems, cloud-native applications, or enterprise software platforms.
- Hands-on experience developing AI-powered applications utilizing large language models, tool integration, retrieval systems, and workflow orchestration frameworks.
- Strong proficiency in Python and modern software engineering practices, including APIs, testing, CI/CD, production monitoring, and observability.
- Experience building solutions on AWS, including services such as Bedrock, Lambda, ECS/EKS, Step Functions, S3, DynamoDB, IAM, and CloudWatch.
- Strong understanding of security architecture, authentication, authorization, data protection, and governance controls.
- Proven ability to translate complex business requirements into scalable technical solutions.
- Excellent communication and stakeholder management skills.
PREFERRED QUALIFICATIONS
- Experience building AI platforms or agentic systems in cybersecurity, financial services, or other regulated industries.
- Familiarity with frameworks such as LangGraph, LangChain, AutoGen, CrewAI, Strands Agents, or similar orchestration technologies.
- Experience supporting security operations, cloud security, vulnerability management, identity and access management, or application security functions.
- Experience evaluating and implementing enterprise AI platforms, including build-versus-buy decision frameworks.
- Demonstrated track record of leading engineering teams and driving technical strategy.
SUCCESS IN THIS ROLE
Successful candidates will deliver secure, scalable, and measurable AI-driven automation solutions while establishing reusable platform capabilities that accelerate adoption across the firm. They will influence engineering standards, mentor teams, and help shape the long-term strategy for enterprise AI and agentic systems.
Skills Required
- Bachelor's degree in Computer Science, Engineering, or a related technical discipline
- Extensive experience building and operating large-scale distributed systems, cloud-native applications, or enterprise software platforms
- Hands-on experience developing AI-powered applications using large language models, tool integration, retrieval systems, and workflow orchestration frameworks
- Strong proficiency in Python and modern software engineering practices, including APIs, testing, CI/CD, production monitoring, and observability
- Experience building solutions on AWS, including Bedrock, Lambda, ECS/EKS, Step Functions, S3, DynamoDB, IAM, and CloudWatch
- Strong understanding of security architecture, authentication, authorization, data protection, and governance controls
- Ability to translate complex business requirements into scalable technical solutions
- Excellent communication and stakeholder management skills
- Experience building AI platforms or agentic systems in cybersecurity, financial services, or other regulated industries
- Familiarity with LangGraph, LangChain, AutoGen, CrewAI, Strands Agents, or similar orchestration technologies
- Experience supporting security operations, cloud security, vulnerability management, identity and access management, or application security functions
- Experience evaluating and implementing enterprise AI platforms, including build-versus-buy decision frameworks
- Track record of leading engineering teams and driving technical strategy
Goldman Sachs Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Goldman Sachs and has not been reviewed or approved by Goldman Sachs.
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Healthcare Strength — Coverage includes medical, dental, vision, disability, life and accident insurance, with multiple plan options and most premiums subsidized; coverage often starts on day one. Wellness resources, on-site health centers in some locations, and EAP access reinforce the depth of health support.
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Parental & Family Support — Family care includes on-site childcare in some offices, expectant parent resources, and transitional programs for returning parents. Feedback suggests parental leave is very generous, with reports of around 20 weeks paid leave and stipends for adoption, surrogacy, and fertility-related services.
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Retirement Support — The firm provides a 401(k) plan with employer matching contributions and broad financial education to help employees plan for retirement. Resources also support saving for education and preparing for unexpected events.
Goldman Sachs Insights
What We Do
At Goldman Sachs, we believe progress is everyone’s business. That’s why we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, Goldman Sachs is a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices in all major financial centers around the world. More about our company can be found at www.goldmansachs.com
