Senior AI Development Platform Engineer - VP at Morgan Stanley

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

06 Apr, 26

Salary

210000.0

Posted On

06 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Development, Kubernetes, API Development, Data Engineering, Generative AI, Python, RESTful Services, DevOps, Agile, Cloud Applications, Microservices, Machine Learning, Information Security, Unit Testing, Performance Testing, OAuth 2.0

Industry

Financial Services

Description

Job Description Morgan Stanley has been at the forefront of the AI journey with applications such as Genome that use AI to provide better, personalized advice to our clients. Generative AI provides further unique opportunities to provide new capabilities to the firm’s internal users as well as our clients. This role is for a senior platform engineer who will help build a firmwide AI Development Platform and drive adoption of AI capabilities throughout the enterprise. The ideal candidate will have strong hands-on experience of building software platforms on Kubernetes, API based development, REST framework, data engineering, and large-scale API Gateway environments etc. Knowledge of AIML and hands-on experience implementing solutions using Generative AI are also preferable. The candidate will have a strong passion for using AI to increase productivity as well as help generate new ideas for product & technical improvements. Primary 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. Required Skills 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. Desired Skills 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. Qualifications: 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. About us Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. We advise, originate, trade, manage and distribute capital for governments, institutions, and individuals. As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence, and strong team ethic. We provide you a superior foundation for building a professional career where you can learn, achieve, and grow. At Morgan Stanley, we are shaping the future of our global business and contributing to our local community. Technology Technology is the key differentiator that ensures that we manage our global businesses and serve clients on a market-leading platform that is resilient, safe, efficient, smart, fast, and flexible. Technology redefines how we do business in global, complex, and dynamic financial markets. We have a large number of award-winning technology platforms that help to propel our Firm’s businesses to be the top in the market. We have built strong techno-functional teams which partner with our offices globally taking global ownership of systems and products. We have a vibrant and diverse mix of technologists working on different technologies and functional domains. There is a large focus on innovation, inclusion, giving back to the community and sharing knowledge. Technology Architecture and Modernization Technology Architecture & Modernization (A+M) unites a highly inter-connected set of functions in a pivotal role driving the over-arching technical framework, product delivery and developer enablement teams at the center of Morgan Stanley's technology strategy. Combining efforts to modernize technologies, architecture and development practices, A+M drives the Firm's multi-year Technology Modernization roadmap to more effective and innovative technology platforms, enabling our business to serve evolving client demands in a highly competitive industry. As the group expands and matures, we continue to add top technical talent, experienced professionals driven by the pursuit of engineering excellence, looking for complex and challenging technology roles with impact, visibility and unparalleled opportunities to work across Technology in multi-disciplinary collaboration with high performing teams, including our Distinguished Engineers. What we offer To work with some of the best professionals in the business - for a firm that values individual intellect as much as teamwork. 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. WHAT YOU CAN EXPECT FROM MORGAN STANLEY: We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Expected base pay rates for the role will be between $150,000 and $210,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs. Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law. Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).

Responsibilities

Develop tooling and self-service capabilities for deploying AI solutions and collaborate with developers to enhance the developer experience. Design scalable architecture for the AI development platform and ensure reliability and operational efficiency.