What are the responsibilities and job description for the AI Development Platform Engineer - Director - P3 position at Morgan Stanley?
AI Development Platform Engineer (Associate)
Job Description
Primary Responsibilities
We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 85 years. At our foundation are five core values — putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back — that guide our more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find trusted colleagues, committed mentors and a culture that values diverse perspectives, individual intellect and cross-collaboration. We Firm is differentiated by the caliber of our diverse team. While our company culture and commitment to inclusion define our legacy and shape our future, helping to strengthen our business and bring value to clients around the world. Learn more about how we put this commitment to action: morganstanley.com/diversity. 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.
We're committed to bringing passion and customer focus to the business.
Expected base pay rates for the role will be between $130,000 and $180,000 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).
Job Description
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.
- 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.
- 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.
- 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 - Bachelor's or Master's degree in Computer Science or related field, or equivalent job experience
- 5 years of experience in software engineering, design and development
We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 85 years. At our foundation are five core values — putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back — that guide our more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find trusted colleagues, committed mentors and a culture that values diverse perspectives, individual intellect and cross-collaboration. We Firm is differentiated by the caliber of our diverse team. While our company culture and commitment to inclusion define our legacy and shape our future, helping to strengthen our business and bring value to clients around the world. Learn more about how we put this commitment to action: morganstanley.com/diversity. 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.
We're committed to bringing passion and customer focus to the business.
Expected base pay rates for the role will be between $130,000 and $180,000 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).
Salary : $130,000 - $180,000
