AI Cloud Solution Engineer_Director_Software Engineering at Morgan Stanley

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

20 Jun, 26

Salary

0.0

Posted On

22 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Cloud Infrastructure, Software Development, API Development, Generative AI, LLM Models, Terraform, CI/CD, Kubernetes, Flask, FastAPI, Azure Open AI, AWS Bedrock, Vertex AI, SQL, NoSQL

Industry

Financial Services

Description

Profile Description We’re seeking someone to join our Enterprise Technology team as an AI Cloud Solution Engineer , in Architecture & Modernization 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 secure cloud services, software platforms, API based development, etc. Knowledge of LLM models 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 software development and cloud infrastructure knowledge and experience. The successful candidate must be able to demonstrate technical leadership with a track record of developing and driving innovative solutions. In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is Director position that develops and maintains software solutions that support business needs. Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world. What you’ll do in the role: Collaborate with other engineers and teams to onboard new cloud services to Morgan Stanley Architect new cloud solutions for new use cases consistent with Morgan Stanley security standards. Build POC's and example code through which developers can access Gen AI models via standard APIs. Have an application developer mindset and build common, reusable solutions to scale generative AI use cases. Contribute to major design decisions and prod Required Skills. Deploy resources to the cloud via terraform and CI/CD pipelines Design and implement highly scalable architecture for enterprise applications. Strong hands-on development background in Python, additional languages are a bonus Create code samples for baseline implementations. Articulate technical concepts effectively to diverse audiences. What you’ll bring to the role: At least 6+ years' relevant experience would generally be expected to find the skills required for this role. 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. Hands on experience with managing code in code repositories such as Bit Bucket and GitHub. Broad understanding of data engineering (SQL, NoSQL, Big Data), data governance, data privacy and security. 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 Python, specifically API based development in Flask or FastAPI. Understanding of Kubernetes and deployment best practices such as Helm and GitOps. Bachelor's or a master's degree in computer science or related field, or equivalent job experience. Experience in enterprise software engineering, design, and development Experience implementing enterprise architecture in at least one major cloud provider (Azure, AWS, GCP). Relevant Microsoft, AWS, GCP, or Terraform certifications a plus. Demonstrated ability to work effectively in a global organization and across time zones. Understanding of information security and secure coding practices. Strong skills in documentation and organization. WHAT YOU CAN EXPECT FROM MORGAN STANLEY: At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 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.

Responsibilities

This Director-level role involves building a firmwide AI Development Platform to aid enterprise-wide adoption of AI capabilities, requiring collaboration with engineers to onboard new cloud services and architect solutions adhering to security standards. The engineer will also build Proofs of Concept (POCs) and reusable solutions to scale generative AI use cases via standard APIs.