Asset & Wealth Management - AI / Machine Learning Software Engineer, Marcus Deposits - Vice President - Birmingham

Who We Are

The Asset & Wealth Management Division includes Goldman Sachs Asset Management (GSAM), Private Wealth Management (PWM) and Marcus by Goldman Sachs. We provide asset management, wealth management and banking expertise to consumers and institutions around the world. AWM partners with various teams across the firm to help individuals and institutions navigate changing markets and take control of their financial lives.

The firm's direct-to-consumer business, Marcus by Goldman Sachs, combines the entrepreneurial spirit of a start-up with more than 150 years of experience. Today, we serve millions of customers across multiple products, leveraging innovative design, data, engineering and other core capabilities to provide customers with powerful tools and products that are grounded in value, transparency and simplicity.

What We Do

At Goldman Sachs, our Engineers don’t just make things – we make things possible.  Change the world by connecting people and capital with ideas.  Solve the most challenging and pressing engineering problems for our clients.  Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.

Engineering, which is comprised of our technology division and global strategists groups, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions.  Want to push the limit of digital possibilities? Start here.

Who We Look For

Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment.

 

AI/Machine Learning Engineer - VP

We are seeking a visionary and highly skilled AI Vice President to provide strategic leadership within our Marcus Deposits Engineering team. In this critical role, you will drive the strategy, development, and implementation of advanced Artificial Intelligence and Machine Learning (AI/ML) solutions, with a strong focus on Generative AI (GenAI), to revolutionize our direct-to-consumer deposits business. You will lead cross-functional initiatives, mentor teams, and ensure that our AI/ML capabilities are at the forefront of innovation, delivering significant business value and enhancing our competitive edge.

Key Responsibilities:

• Provide strategic leadership in defining and executing the product vision and strategy for AI/ML and GenAI solutions within Marcus Deposits, aligning initiatives with overarching business goals.
• Lead the hands-on design, development, and implementation of complex machine learning models and algorithms, including advanced GenAI techniques, from concept through to production, ensuring scalability, reliability, and alignment with business objectives.
• Drive innovation by staying abreast of the latest advancements in AI, machine learning, and GenAI technologies, identifying opportunities to incorporate cutting-edge solutions to maintain the company's competitive edge.
• Oversee the full lifecycle of AI solutions, from Proof of Concept to production-ready deployment, ensuring performance and reliability.
• Collaborate closely with internal stakeholders across various divisions, including engineering, data science, and operations teams, to deliver integrated and impactful AI solutions.
• Lead and mentor a team of AI engineers and data scientists, fostering a culture of technical excellence, continuous learning, and innovation.
• Manage budgets, financial forecasts, and resource allocation for AI product teams, ensuring operational excellence and adherence to data security, privacy regulations, and ethical AI principles.
• Present product strategy, key developments, and performance metrics to senior leadership, providing data-backed insights and recommendations to shape overall AI initiatives and business decisions.
• Develop and implement Retrieval-Augmented Generation (RAG) models, leverage Vector Stores, and apply advanced Prompt Engineering techniques to enhance information retrieval and generation tasks.

Skills and Experience We Are Looking For:

• A Master's or Ph.D. degree in Computer Science, Data Science, Machine Learning, or a related field, or equivalent relevant industry experience.
• Preferably 7+ years of AI/ML industry experience, with a significant portion in a leadership or senior technical role.