Morgan Stanley · 1 day ago
Senior AI Development Platform Engineer - VP
New York, NY
Full-time
Hybrid
Senior Level, Lead/Staff
$150K/yr - $210K/yr
10+ years expMorgan Stanley is a leading global financial services firm that is at the forefront of the AI journey, developing applications that leverage AI to enhance client services. The Senior AI Development Platform Engineer role involves building a firmwide AI Development Platform and driving the adoption of AI capabilities across the enterprise, requiring collaboration with various stakeholders to design scalable and secure architectures.
Asset ManagementFinanceFinancial ServicesLending
Responsibilities
Develop tooling and self-service capabilities for deploying AI solutions for the firm. Collaborate with other developers to enhance the developer experience when building and deploying AI applications
Have a platform mindset and build common, reusable solutions to scale Generative AI use cases using pre-trained models as well as fine-tuned models
Collaborate with product manager, other tech leads, junior staff and other stakeholders to analyze requirements, translate them into technical specification and architecture documentation
Design scalable, robust, secure, and flexible architecture of components of the AI development platform
Leverage Kubernetes/OpenShift to develop modern containerized workloads
Leverage container registries like JFrog artifactory, container packaging/configuration management technologies like Helm & Kustomize, and GitOps deployment methods to orchestrate, manage and deploy these workloads
Integrate with capabilities such as large-scale vector stores for embeddings
Author best practices on the Generative AI ecosystem, when to use which tools, available models such as GPT, Llama, Hugging Face etc. and libraries such as Langchain
Analyze, investigate, and implement GenAI solutions focusing on Agentic Orchestration and Agent Builder frameworks
Contribute to major design decisions and product selection for building Generative AI solutions. Inclusive of app authentication, service communication, state externalization, container layering strategy and immutability
Ensure AI platform are reliable, scalable, and operational; (e.g. blueprints for upgrade/release strategies (E.g. Blue/Green); logging/monitoring/metrics; automation of system management tasks)
Participate in all team’s Agile/ Scrum ceremonies
Qualification
Required
Strong hands-on Application Development background in at least one prominent programming language, preferably Python Flask or FAST Api
Broad understanding of data engineering (SQL, NoSQL, Big Data, Kafka, Redis), 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
Hands-on experience with multiprocessing, multithreading, asynchronous I/O, performance profiling in at least one prominent programming language, preferably python
Practitioner of unit testing, performance testing and BDD/acceptance testing
Understanding of OAuth 2.0 protocol for secure authorization
Proficiency with Open Telemetry tools including Grafana, Loki, Prometheus, and Cortex
Demonstrated experience in DevOps, understanding of CI/CD (Jenkins) and GitOps
Ability to articulate technical concepts effectively to diverse audiences
Strong desire and ability to influence development teams and help them adopt AI
Demonstrated ability to work effectively and collaboratively in a global organization, across time zones, and across organizations
Understanding of deep learning, understanding of Machine Learning frameworks such as TensorFlow or PyTorch
Understanding of Information Security, Secure coding practices
Experience in building cloud and container native applications
Knowledge of DevOps and Agile practices
Excellent communication skills
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
5+ years of experience architecting distributed systems
1+ year of experience building AI applications, preferably Generative AI and LLM based apps
Preferred
Strong understanding and experience designing and building software following cloud-native architecture with microservices, Kubernetes, docker, kafka, etc
Good knowledge of Microservice based architecture, industry standards, for both public and private cloud
Good understanding of modern Application configuration techniques
Hands on experience with Cloud Application Deployment patterns like Blue/Green
Good understanding of State sharing between scalable cloud components (Kafka, dynamic distributed caching)
Good knowledge of various DB engines (SQL, Redis, Kafka, etc) for cloud app storage
Experience building AI applications, preferably Generative AI and LLM based apps
Deep understanding of AI agents, Agentic Orchestration, Multi-Agent Workflow Automation, along with hands-on experience in Agent Builder frameworks such Lang Chain and Lang Graph
Experience working with Generative AI development, embeddings, fine tuning of Generative AI models
Understanding of ModelOps/ ML Ops/ LLM Op
Understanding of SRE techniques
Understanding of Responsible AI, AI Ethics
Understanding of Information Security, Secure coding practices
Benefits
Flexible working arrangements (core hours and opportunity to work from home, as per the Morgan Stanley policies in effect).
Enriching challenges that provide opportunity for constant learning and advancement.
An environment which is leveraging technology to its highest potential.
Company
Morgan Stanley
Morgan Stanley is a financial services company that offers securities, asset management, and credit services.
10001+ employees
H1B Sponsorship
Morgan Stanley has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
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Trends of Total Sponsorships
2025 (203)
2024 (195)
2023 (173)
2022 (153)
2021 (165)
2020 (173)
Funding
Current Stage
Public CompanyTotal Funding
unknown1997-02-05IPO
Leadership Team
James Gorman
Chairman and CEO
Wei Christianson
Co-CEO Asia Pacific
Recent News
CEE Legal Matters
2025-12-22
2025-12-20
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