Job Description

Morgan StanleyPython/FlaskAPI & AI Platform Development Lead - Vice President - Software EngineeringProfile DescriptionWere seeking someone to join our team as (Vice President),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.Enterprise_TechnologyEnterprise Technology & Services (ETS) delivers shared technology services for Morgan Stanley supporting all business applications and end users. ETS provides capabilities for all stages of Morgan Stanleys software development lifecycle, enabling productive coding, functional and integration testing, application releases, and ongoing monitoring and support for over 3,000 production applications. ETS also delivers all workplace technologies (desktop, mobile, voice, video, productivity, intranet/internet) in integrated configurations that boost the personal productivity of employees. Application and end user functions are delivered on a scalable, secure, and reliable infrastructure composed of seamlessly integrated datacenter, network, compute, cloud, storage, and database functions.Technology Architecture and ModernizationTechnology 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.

Software EngineeringThis is Vice President position that develops and maintains software solutions that support business needs.Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals.At Morgan Stanley India, we support the Firms global businesses, with critical presence across Institutional Securities, Wealth Management, and Investment management, as well as in the Firms infrastructure functions of Technology, Operations, Finance, Risk Management, Legal and Corporate & Enterprise Services. Morgan Stanley has been rooted in India since 1993, with campuses in both Mumbai and Bengaluru. We empower our multi-faceted and talented teams to advance their careers and make a global impact on the business. For those who show passion and grit in their work, theres ample opportunity to move across the businesses for those who show passion and grit in their work.Interested in joining a team thats eager to create, innovate and make an impact on the world? Read onxe2x80xa6What youll 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.
• 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 teams Agile/ Scrum ceremonies.

What youll bring to the role:Required Skills

• At least 8 years' relevant experience would generally be expected to find the skills required for this role.
• 5+ years of experience architecting distributed systems.
• 1+ year of experience building AI applications, preferably Generative AI and LLM based apps - Desirable
• 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.

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 85 years. At our foundation are five core values xe2x80x94 putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back xe2x80x94 that guide our more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, youll 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.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.

Morgan Stanley