As an SAP FI/CO Solution Architect, you will lead the design of SAP Finance solutions. Collaborate on complex transformations for SAP S/4HANA in a global context.
About the role
- AI Solutions Engineering Specialist responsible for AI solution development and architecture at Morgan Stanley. Collaborating with teams to deliver cutting-edge AI and multiagent systems.
Responsibilities
- Design and develop state-of-the-art GenAI and general AI solutions as well as multiagent systems to solve complex business problems
- Lead the design and architecture of scalable, efficient, and high-performance data systems that support processing of massive datasets of structured and unstructured data
- Stay up to date with the latest trends in AI, NLP, LLMs and big data technologies
- Contribute to the development and implementation of new techniques that improve performance and innovation
- Collaborate with cross-functional teams, including engineers, product owners, and other stakeholders to deploy AI models into production systems and deliver value to the business
- Translate high-level business requirements into detailed functional, technical and system specifications
- Responsible for the development, maintenance and support of multiple distributed applications
- Contributing to 24x7 availability and scalability of the solutions
- Analyzing existing designs and interfaces and creating design extensions or enhancements
- Designing and enhancing UIs with a focus on the user experience
- Testing software designs and solutions (including debugging and troubleshooting)
- Promote the firm’s values and set an example for team members upholding those values
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related discipline (or equivalent experience)
- A minimum of 5 years of experience in information technology
- Hands-on experience developing or integrating AI/ML models into applications
- Proficiency in one or more programming languages such as Python, or, C#, or JavaScript/TypeScript
- Experience with GenAI models
- Experience consuming and building RESTful or event-driven APIs
- Solid understanding of cloud platforms (Azure, AWS, or GCP) and containerized deployments
- Familiarity with data pipelines, feature stores, or model lifecycle management
- Demonstrated experience dealing with big-data technologies and the ability to process, clean and analyse large-scale datasets
- HTML5 technologies, Typescript, Javascript, Json, CSS, Angular
Benefits
- Flexible work environment, combining remote work and attendance in the office
- Ample opportunity to move across the businesses for those who show passion and grit
- Supportive and inclusive environment
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