VP , P4, Lead Infra Prod Mgmt & RE Job Level Vice President

Profile Description
Were seeking someone to join our team as VP for developing and deploying Generative AI solutions by leveraging latest AI models AI offerings and agentic frameworks for the firm using the technical stack of Kubernetes/OpenShift Python authentication solutions APIs REST framework etc. The candidate would be responsible for AI use cases refinement prototyping/proof of concept development and production rollout.

Enterprise Technology
Enterprise 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 modernization enablement functional and integration testing application releases and ongoing monitoring and support for over 3000 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.

Architecture & Modernization
Architecture & Modernization Drives development of the global firm strategy to define modern architectures and guardrails to reduce legacy debt while partnering with app dev to accelerate the adoption of modern capabilities.
This position focuses on the SDLC modernization/Applied AI initiatives leveraging the generative AI frameworks/tools.
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.
What youll do in the role:
>Develop tooling and self-service capabilities for deploying AI solutions for the firm leveraging Kubernetes/OpenShift Python authentication solutions APIs REST framework etc
>Develop Terraform modules and Cloud architecture to enable secure AI cloud service deployment and consumption at scale
>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
>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.
>Author and publish architecture decision records to capture 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 platforms 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:
>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.
>Experience deploying applications on Azure AWS and/or GCP using IaC (Terraform)
>Hands-on experience with multiprocessing multithreading asynchronous I/O performance profiling in at least one prominent programming language preferably python.
>Ability to articulate technical concepts effectively to diverse audiences.
>Excellent communication skills.
>Demonstrated ability to work effectively and collaboratively in a global organization across time zones and across organizations
>Demonstrated experience in DevOps understanding of CI/CD (Jenkins) and GitOps.
>Knowledge of DevOps and Agile practices.

Desired Skills
>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.
>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 - arent just beliefs they guide the decisions we make every day to do whats best for our clients communities and more than 80000 employees in 1200 offices across 42 countries. At Morgan Stanley youll 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. Theres also ample opportunity to move about the business for those who show passion and grit in their work.

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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.