VP, Agentic AI Systems & Enterprise Automation

Goldman Sachs; Town of Montana (WI); On-site; USD 180,000 - 240,000; Full time

Job summary

Goldman Sachs is seeking a Vice President in Engineering to lead the design and delivery of production-grade agentic AI systems that automate complex business and cybersecurity workflows. You will shape architecture, controls, and standards to scale AI-powered automation in a regulated environment.

You’ll partner with cybersecurity, engineering, and business teams to translate broad requirements into enterprise-grade solutions, focusing on security, reliability, and measurable business impact.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or 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.

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.

Skills

Python

Distributed systems

AI systems

APIs

CI/CD

Observability

Security awareness

Stakeholder management

Education

Bachelor's degree in Computer Science or related

Tools

Bedrock

Lambda

ECS/EKS

Step Functions

S3

DynamoDB

IAM

CloudWatch

Job description

Goldman Sachs is seeking a Vice President in Engineering to lead the design and delivery of production-grade agentic AI systems that automate complex business and cybersecurity workflows. You will shape architecture, controls, and standards to scale AI-powered automation in a regulated environment.

You’ll partner with cybersecurity, engineering, and business teams to translate broad requirements into enterprise-grade solutions, focusing on security, reliability, and measurable business impact.