Morgan Stanley

AI Platform Engineering Specialist

Posted On

July 16, 2025

Location

Bengaluru, Karnataka

Experience Level

Freshers/Experienced

Job Type

Permanent

Apply By

Sept. 17, 2025

Job Description

Profile Description

We’re seeking someone to join our team as AI Platform Engineering Specialist who 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.

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 Stanley’s 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.

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.

Software Engineering

This is a 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 Firm’s global businesses, with critical presence across Institutional Securities, Wealth Management, and Investment management, as well as in the Firm’s 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, there’s ample opportunity to move across the businesses for those who show passion and grit in their work.

Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on…

What you’ll 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 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.
Participate in team’s on call rotation in build/run team model

What you’ll bring to the role:

At least 4 years’ relevant experience would generally be expected to find the skills required for this role
Bachelor’s or Master’s degree in Computer Science or related field, or equivalent job experience
4 years of experience in software engineering, design and development

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.
Nice to have
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 - 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.

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