The agile AI Innovation Acceleration team will operate with the speed and spirit
of a startup, focused on rapidly prototyping and building cutting-edge AI use
cases that directly address the critical needs of our businesses. The primary
goal of this team is to demonstrate the transformative potential of AI within
the firm, rapidly deliver impactful solutions, and then seamlessly transfer the
code, knowledge, and ownership to the respective business and engineering teams.
This hands-on engineering role is pivotal in shaping the future of AI adoption
at Goldman Sachs and fostering a culture of innovation and accelerated
development.
As an AI Innovation Acceleration Specialist, you will be instrumental in
identifying, developing, and deploying end-to-end AI/Machine Learning solutions
that drive tangible business value; you will work in a rapid-paced environment,
leveraging your expertise to translate complex business challenges and customer
needs into actionable AI architectures and technical specifications, and then
implement and deliver these systems.
Key Responsibilities
* Rapid Prototyping & End-to-End Development: Lead the end-to-end development
of AI/ML models and applications, from ideation and data exploration to rapid
prototyping and initial deployment.
* Business Partnership & Solution Architecture: Collaborate closely with
business and engineering teams to deeply understand their challenges and
customer needs, identify high-impact AI use cases, and translate business
requirements into robust technical specifications and solution architectures.
* Solution Implementation & Delivery: Architect, implement, and deliver
scalable, robust, and maintainable AI solutions based on defined technical
specifications and architectures, ensuring seamless integration with existing
systems and workflows within the Goldman Sachs ecosystem.
* Knowledge Transfer & Enablement: Facilitate effective knowledge transfer
through comprehensive documentation, training session