Technology Risk - Vice President, Agentic Systems Engineer / Technical Lead, New York

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.