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.
Salary Range
The expected base salary for this New York, NY, United States-based position is $130000-$250000. In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end.
Benefits
Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as it is a core part of providing a strong overall employee experience. A summary of these offerings, which are generally available to active, non-temporary, full-time and part-time US employees who work at least 20 hours per week, can be found here.
Skills Required
- Technical cybersecurity risk assessments and helping counterparts manage security risks
- Develop, evaluate, document security measures, controls, and guardrails for data, applications, APIs, network infrastructure and systems
- Design and implement cybersecurity architecture and strategy using threat modeling and data flow analysis (OWASP Top 10, SANS Top 25)
- Negotiate and review information and cyber security contractual requirements
- Working knowledge of regulatory landscape applicable to vendor ecosystem
- Understanding of information security controls and preferred/alternative implementations
- Working knowledge of new technologies (Cloud computing, AI/ML, Zero Trust) and how to assess related security risks
- Working knowledge of the Procurement process and Technology Risk's role
- Proficient verbal and written communication skills
- Bachelor of Science in Computer Science, Systems/Computer Engineering, Cyber-Security, Information Security, IT or Risk Management
- Prior experience conducting IT/cyber security assessments (Control Reviews, Design Reviews, Configuration/Implementation Reviews)
- Relevant certifications (CISSP, CCSP, GSEC, CEH, CCNA, CCNP, Solution Architect, Security+, SSCP, CASP+)
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 — Healthcare is described as offering multiple plan options with subsidized premiums and prescription coverage. Materials indicate there are no pre-existing condition limitations in the U.S. summary.
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Retirement Support — Retirement benefits are considered competitive, including employer 401(k) matching and access to financial education and planning resources. These features position long-term savings as a core component of the package.
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Parental & Family Support — Family-support programs include paid parenting leave, family-care leave, and resources such as childcare support and lactation rooms in some offices. These offerings signal emphasis on supporting caregivers alongside work.
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
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