This role is for a platform engineering specialist focused on building a firmwide Artificial Intelligence Development Platform at Morgan Stanley. The team aims to drive the adoption of AI capabilities across the enterprise, ensuring efficiency, security, and innovation. Candidates should be energetic and multi-disciplinary, eager to contribute to scalable and secure solutions. The ideal candidate will have strong hands-on experience in software platforms and a passion for leveraging AI to enhance productivity.

• Bachelor's or Master's degree in Computer Science or related field, or equivalent job experience
• 8+ years of experience in software engineering, design and development
• Strong hands-on Application Development background in at least one prominent programming language, preferably Python Flask or FAST Api
• Broad understanding of data engineering including SQL, NoSQL, Big Data, Kafka, and Redis
• Experience in development, management, and deployment of Kubernetes workloads, preferably on OpenShift
• Experience with designing, developing, and managing RESTful services for large-scale enterprise solutions
• Experience deploying applications on Azure, AWS, and/or GCP using Infrastructure as Code (Terraform)
• Hands-on experience with multiprocessing, multithreading, asynchronous I/O, and performance profiling in at least one prominent programming language, preferably Python
• Ability to articulate technical concepts effectively to diverse audiences
• Excellent communication skills
• Demonstrated ability to work effectively and collaboratively in a global organization

• Develop tooling and self-service capabilities for deploying AI solutions leveraging Kubernetes/OpenShift, Python, and APIs
• Develop Terraform modules and Cloud architecture for secure AI cloud service deployment at scale
• Build common, reusable solutions to scale Generative AI use cases using pre-trained and fine-tuned models
• Leverage Kubernetes/OpenShift to develop modern containerized workloads
• Integrate with capabilities such as large-scale vector stores for embeddings
• Author best practices on the Generative AI ecosystem and available models
• Analyze, investigate, and implement GenAI solutions focusing on Agentic Orchestration and Agent Builder frameworks
• Author and publish architecture decision records to capture major design decisions
• Ensure AI platform reliability, scalability, and operational efficiency
• Participate in all team's Agile/Scrum ceremonies
• Participate in the team's on-call rotation in a build/run team model

• Morgan Stanley offers extensive benefits that support employees’ careers, health, finances, and families, including top-tier medical coverage, mental health support, generous parental leave, fertility and family-building benefits, and robust retirement and stock purchase plans. Employees also gain access to continuous learning and networking opportunities, volunteer and giving programs aligned with the firm’s values, and hundreds of lifestyle perks like discounted products, cultural and entertainment tickets, and commuter savings.