The Goldman Sachs Group, Inc

VP AI Innovation & Solutions Engineering

The Goldman Sachs Group, Inc$180K — $250K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's degree in Computer Science, Software Engineering, or related field.
  • 9+ years of hands-on software engineering experience with strong application deployment history.
  • Proven experience building end-to-end applications using LLMs and relevant frameworks.
  • Strong programming skills in Python, Java, or Go and familiarity with AI/ML frameworks like TensorFlow and PyTorch.
  • Expertise in developing cloud-optimized architectures and scalable data models.

Responsibilities

  • Lead end-to-end application development, focusing on AI/ML integration and rapid prototyping.
  • Collaborate with business and engineering teams to identify AI integration opportunities and develop architectures.
  • Architect and implement scalable, cloud-native AI applications ensuring seamless integration with existing systems.
  • Facilitate knowledge transfer through documentation, training, and mentorship to empower receiving teams.
  • Stay current with advancements in AI/ML technologies, evaluating and recommending innovative tools and practices.

Benefits

  • Comprehensive documentation and mentoring opportunities.
  • Access to cutting-edge tools and technology for AI application delivery.
  • Collaboration with cross-functional teams, fostering a dynamic work environment.
Full Job Description
Job Description

Summary

The AI Innovation and Solutions (AIS) team operates with the speed and spirit of a startup, focused on rapidly prototyping and building production-grade, cloud-native AI applications that integrate cutting-edge AI capabilities to directly address the critical needs of our businesses. Our primary goal is to demonstrate the transformative potential of AI within the firm through accelerated application delivery, rapidly deploying impactful solutions, and then seamlessly transferring the application code, cloud integration patterns, robust data models, and operational knowledge to respective business and engineering teams. This hands-on engineering role is pivotal in shaping the future of AI adoption at Goldman Sachs by building reliable, highly scalable, cloud-optimized AI-powered products and fostering a culture of innovation and rapid, continuous delivery.

As an AI Application Engineer, you will be instrumental in designing, building, and deploying end-to-end, cloud-native AI applications that leverage advanced AI/Machine Learning solutions to drive tangible business value. You will thrive in a fast-paced environment, leveraging your expertise to translate complex business challenges and customer needs into actionable cloud-based application architectures, optimized data models, and technical specifications that incorporate AI capabilities, and then implement and deliver these systems with a focus on speed, reliability, and operational excellence.

Key Responsibilities
  • Rapid Prototyping & Application Development: Lead the end-to-end development of applications that integrate and leverage AI/ML models, from architectural design, data schema design, data pipeline construction, and rapid prototyping to initial deployment and operationalization, utilizing cloud-native services (e.g., serverless, containerization, managed AI/ML platforms) and CI/CD pipelines for accelerated delivery. Implement robust MLOps practices to streamline model deployment, monitoring, and lifecycle management in cloud environments, including data versioning, feature store integration, and data pipeline management.
  • Business Partnership & Solution Architecture: Collaborate closely with business and engineering teams to deeply understand their challenges and customer needs, identify high-impact opportunities to integrate AI capabilities into applications, and translate business requirements into robust cloud-optimized application architectures, scalable data models, and technical specifications for AI-powered solutions, considering scalability, cost-efficiency, security, and data governance principles.
  • Solution Implementation & Delivery: Architect, implement, and deliver scalable, robust, and maintainable cloud-native AI applications that consume and operationalize AI solutions based on defined technical specifications and architectures, ensuring seamless integration with existing systems and workflows within the Goldman Sachs ecosystem. Apply strong software engineering principles, data modeling best practices (e.g., relational, NoSQL, graph), DevOps/MLOps best practices, and cloud security standards. Drive automation of deployment, testing, and monitoring processes to ensure rapid and reliable delivery of AI applications.
  • Knowledge Transfer & Enablement: Facilitate effective knowledge transfer through comprehensive documentation, training sessions, mentorship, and pair-programming, empowering receiving teams to take ownership and continue the development and maintenance of AI-powered applications.
  • Technology & Innovation Leadership: Stay abreast of the latest advancements in application development, system integration, AI/ML technologies, data management platforms, and operational best practices, continuously evaluating and recommending new tools, techniques, and architectural patterns to drive innovation in AI application delivery.


Qualifications
  • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related quantitative field.
  • 9+ years of hands-on software engineering experience, with a proven track record of building and deploying robust applications, and significant experience integrating AI/ML models.
  • Demonstrated experience building and deploying end-to-end applications that leverage LLMs and related frameworks. This includes experience with prompt engineering, API integration, and working with agentic frameworks.
  • Strong proficiency in programming languages such as Python, Java, or Go, along with experience integrating with relevant AI/ML frameworks (e.g., TensorFlow, PyTorch).
  • Proven ability to translate complex business requirements into well-defined, cloud-optimized application architectures, scalable data models (e.g., relational, NoSQL, graph), and technical specifications for AI-powered systems, and to subsequently implement and accelerate delivery of robust, production-ready systems based on these designs.
  • Extensive experience with major cloud platforms (e.g., AWS, Azure, GCP), including cloud-native services (serverless, containerization, managed AI/ML platforms), and a strong command of DevOps/MLOps best practices for automated deployment, monitoring, lifecycle management, data pipeline orchestration, and cloud security standards.
  • Excellent communication capabilities, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders across all levels of the organization.
  • Strong collaboration and interpersonal skills, with a passion for mentoring and enabling others.
  • Proven ability to lead or significantly contribute to cross-functional projects.
  • Productionize LLMs: Build evaluation framework for open-source and foundational LLMs; implement retrieval pipelines, prompt synthesis, response validation, and self-correction loops tailored to production operations
  • Integrate with runtime ecosystems: Connect agents to observability, incident management, and deployment systems to enable automated diagnostics, runbook execution, remediation, and post-incident summarization with full traceability
  • Collaborate directly with users: Partner with production engineers, and application teams to translate production pain points into agentic AI roadmaps; define objective functions linked to reliability, risk reduction, and cost; and deliver auditable, business-aligned outcomes
  • Scale and performance: Optimize cost and latency via prompt engineering, context management, caching, model routing, and distillation; leverage batching, streaming, and parallel tool-calls to meet stringent SLOs under real-world load
  • Build agentic AI systems: Design and implement tool-calling agents that combine retrieval, structured reasoning, and secure action execution (function calling, change orchestration, policy enforcement) following MCP protocol
  • Integrate with runtime ecosystems: Connect agents to observability, incident management, and deployment systems to enable automated diagnostics, runbook execution, remediation, and post-incident summarization with full traceability

About The Goldman Sachs Group, Inc

The Goldman Sachs Group, Inc. provides investment banking, securities, and investment management services, as well as financial services to corporations, financial institutions, governments, and high-net-worth individuals worldwide. Its Investment Banking segment offers financial advisory services, including advisory assignments concerning mergers and acquisitions, divestitures, corporate defense, risk management, and restructurings and spin-offs; and underwriting services comprising public offerings and private placements of a range of securities, loans, and other financial instruments, and derivative transactions. The company’s Institutional Client Services segment provides client execution services, such as fixed income, currency, and commodities client execution related to making markets in interest rate products, credit products, mortgages, currencies, and commodities; and equities related to making markets in equity products, as well as executes and clears institutional client transactions on stock, options, and futures exchanges. This segment also engages in the securities services business providing financing, securities lending, and other brokerage services to institutional clients, including hedge funds, mutual funds, pension funds, and foundations. Its Investing and Lending segment originates longer-term loans; and invests in debt securities, loans, public and private equity securities, real estate, consolidated investment entities, distressed assets, currencies, commodities, and power generation facilities. The company’s investment management segment provides investment products and services, as well as offers wealth advisory services, including portfolio management and financial counseling, and brokerage and other transaction services.

The Goldman Sachs Group, Inc. Careers

Join the prestigious team at The Goldman Sachs Group, Inc., a global leader in finance and investments, and propel your career to new heights. Our firm is renowned for its commitment to excellence, innovation, and leadership in the financial sector.

Work You’ll Do

At Goldman Sachs, you will be part of a dynamic environment that fosters growth, diversity, and professional development. Engage in transformative projects that redefine the landscape of global finance, driven by a culture of high performance and continuous improvement.

Lead with Innovation and Leadership

Step into a role where your skills will be honed and your leadership capabilities enhanced. The Goldman Sachs Group, Inc. is at the forefront of merging financial expertise with technological innovation, creating a platform for you to lead impactful initiatives.

Join Our Diverse and Inclusive Team

Diversity and inclusion are at the core of our company culture. With employees from various backgrounds, Goldman Sachs thrives on the rich ideas and perspectives that this diversity brings. Here, every team member’s contribution is valued, and every voice is heard.

Explore Job Opportunities and Internships

Whether you’re seeking full-time employment or looking into internship opportunities, Goldman Sachs offers a range of positions that cater to different skills, experiences, and career aspirations. From analyst to executive positions, discover how you can contribute to our legacy of success.

Networking and Professional Growth

Goldman Sachs is not just a workplace. It is a community where you can build lasting relationships with colleagues and industry leaders. Our networking events, mentorship programs, and professional groups foster connections that can accelerate your career trajectory.

Benefits and Career Development

Invest in your future with Goldman Sachs’ unparalleled employee benefits and career development programs. From comprehensive health benefits to personalized career coaching and leadership training, we ensure that our team is equipped for success, both professionally and personally.

Prepare for Your Future

Ready to take the next step? Prepare your resume, sharpen your interview skills, and explore the vast array of job opportunities at The Goldman Sachs Group, Inc. Our hiring process is designed to identify and nurture talent, helping you to achieve your career goals.

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Join The Goldman Sachs Group, Inc.

Embark on a rewarding journey with The Goldman Sachs Group, Inc. where your potential is limitless. Explore positions, read about our company culture, and apply today to become part of a team that values growth, leadership, and innovation.

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At The Goldman Sachs Group, Inc., your career is just the beginning – it’s an opportunity to excel and lead in the global financial industry. Join us and make your mark!
Learn more about The Goldman Sachs Group, Inc
Size
45,100 employees
Market Cap
$115.8 billion
Industry
Net Income
$9.4 billion
Founded
1869
5 Year Trend
+11.3%
Revenue
$53.4 billion
NASDAQ

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