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 while ensuring efficiency, security, and strong governance. Candidates should be energetic and multi-disciplinary, contributing to scalable and secure solutions. The ideal candidate will possess 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
• 10 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, data governance, data privacy, and security
• 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, across time zones, and across organizations
• Demonstrated experience in DevOps, understanding of CI/CD (Jenkins) and GitOps
• Knowledge of DevOps and Agile practices

• Develop tooling and self-service capabilities for deploying AI solutions leveraging Kubernetes/OpenShift, Python, authentication solutions, APIs, and REST framework
• Develop Terraform modules and Cloud architecture to enable secure AI cloud service deployment and consumption 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 and libraries
• Analyze, investigate, and implement Generative AI solutions focusing on Agentic Orchestration and Agent Builder frameworks
• Author and publish architecture decision records to capture major design decisions and product selection for building Generative AI solutions
• 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.