Vice President -AI Cloud services Engineer_ Software Engineering at Morgan Stanley

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

19 Feb, 26

Salary

0.0

Posted On

21 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Development, Software Engineering, Data Engineering, API Development, Generative AI, Machine Learning, DevOps, Cloud Computing, Python, SQL, NoSQL, Big Data, Information Security, Application Development, CI/CD, Terraform

Industry

Financial Services

Description

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 Generative AI provides unique opportunities to provide new capabilities to the firm's internal users as well as our clients. This role is for a senior engineer who will help build a firmwide AI Development Platform that will aid the adoption of AI capabilities throughout the enterprise. The ideal candidate will have strong hands-on experience of building software platforms, data engineering, API based development, REST framework 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 improvements. This role requires a strong combination of both development and infrastructure knowledge and experience. The successful candidate must be able to demonstrate technical leadership with a track record of developing and driving innovative solutions. Build POC's and example code through which developers can access Gen AI models via standard APIs. Develop tooling and self-service capabilities for deploying AI solutions. Collaborate with developers to enhance the developer experience when building and deploying AI applications. This is a customer-facing role and excellent soft communications skills are mandatory. 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, and Sematic Kernel. Have an application developer mindset and build common, reusable solutions to scale Generative AI use cases using pre-trained models as well as fine-tuned models. Contribute to major design decisions and product selection for building Generative AI solutions. Strong hands-on Application Development background in at least one prominent programming language, preferably Python Broad understanding of data engineering (SQL, NoSQL, Big Data), data governance, data privacy and security Demonstrated experience in DevOps, understanding of CI/ CD. Hands on experience with managing code in code repositories such as Bit Bucket and GitHub. Experience deploying resources to the cloud and using terraform to do so. 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 in a global organization and across time zones. Understanding of how deep learning works, understanding of Machine Learning frameworks such as TensorFlow or PyTorch Understanding of Information Security, Secure coding practices Experience working with application development teams to enable them to build AI based applications. Ability to create code samples to be shared with application teams. Experience working with cloud providers, preferably Azure, but also AWS, GCP Experience building applications using AI development services on prominent cloud platforms such as Azure Open AI, Azure AI Foundry, Azure Search, Azure Cognitive Services, AWS Bedrock, AWS Sagemaker, Google Vertex AI Experience working in a large, regulated industry such as Financial Services, Insurance etc. Experience building AI applications, preferably Generative AI and LLM based apps. Experience working with Generative AI development, embeddings, fine tuning of Generative AI models. Understanding of Model Ops/ ML Ops/ LLM Ops Bachelor's or a master's degree in computer science or related field, or equivalent job experience 8 - 12 years of experience in software engineering, design, and development 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. 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. 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.

Responsibilities

The role involves driving the development of a firmwide AI Development Platform to enhance the adoption of AI capabilities. The candidate will collaborate with developers to improve the developer experience and build reusable solutions for Generative AI use cases.