AI Platform Engineer_Vice President_Software Engineering
Morgan Stanley
APAC/Oceania, India, Bengaluru
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Salary
Rank
VP
Responsibility
Functional Tower Lead
Scope
Regional
Workplace
100% in office
Functions
IT
Reports to
Level
N-3
Travel Max:
0%
Posting Date
08-10-2025
Description
We’re seeking someone to join our team as Vice President. This role is for a platform engineer who will help build a firmwide AI Development Platform and drive adoption of AI capabilities throughout the enterprise. We have multiple focus areas across the platform and are looking for energetic, multi-disciplinary candidates who are eager to contribute to providing scalable, secure, enterprise-wide solutions for the firm.
The ideal candidate will have strong hands-on experience building software platforms on any combination of the following platforms – Kubernetes, Cloud (AWS, Azure, and/or Google), 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 great communication skills, a team-based mentality and a strong passion for using AI to increase productivity as well as help generate new ideas for product & technical improvements.
Key Responsibilities
- 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 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.
- Participate in teams on call rotation in build/run team model
Qualification & Requirements
- At least 8 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.
- 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.
Benefits
- Family Support. Whether you’re welcoming a new child, helping your children grow and develop, or caring for aging parents, we have programs to help. We offer generous parental leave (16 weeks for all new parents and an additional 6-8 weeks for employees who give birth), as well as caregiver leave when you need to care for a seriously ill family member (4 weeks annually) – Our family support programs include a $75,000 family building benefit to offset the cost of fertility treatments (IVF, egg- and sperm-freezing), adoption and surrogacy. Additionally, expert care is available round-the-clock, at no charge, from OB-GYNs, midwives, doulas, lactation, sleep and potty training consultants, speech therapists and child psychologists to name a few.
- Mental Health. Employees and their dependents each have 16 annual sessions with skilled coaches and therapists at no cost, and access to mental health doctors. You can also take advantage of free access to a leading mindfulness app and five guest accounts for household members.
- Onsite Services. Employees based in our NYC locations have access to health centers, mental health counseling, fitness centers, physical therapy and restorative suites at the office. Many services are free or subsidized.
- Perks. And we can’t forget the fun stuff. You’ll enjoy hundreds of perks and discounts on automobiles, electronics, retail merchants, travel, entertainment, museums and more.
Company Profile
Morgan Stanley
Industry
Financial Services
Revenue
$53.7B
Employees
82,000
Fortune 500 Rank
#61
Global 500 Rank
#196
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