Job Description

Profile Description
We're seeking someone to join our Enterprise Technology team as an AI Platform Engineer, in Architecture & Modernization to for pricing model implementation projects required to support and enhance mission critical Credit Risk data infrastructure, as well as to contribute to strategic initiatives.
In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities.
This is Associate position that develops and maintains software solutions that support business needs.
Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.
What you'll do in the role:

• 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 & Customize, 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.

• Analyse, 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 is 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.

What you'll bring to the role:

• At least 2 years' relevant experience would generally be expected to find the skills required for this role.

• 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, embeddings, fine tuning of Generative AI models.

• Understanding of ModelOps/ ML Ops/ LLM Op.

• Understanding of SRE techniques.

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.
Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.

Skills Required