Generative AI Engineer/Architect

Morgan Stanley

Generative AI Engineer/Architect - Vice President - Software Engineering

Profile Description

We’re seeking someone to join our team as Vice President, This role is for a senior engineer/ architect who will help build a firmwide AI Development Platform and drive adoption of AI capabilities throughout the enterprise. The ideal candidate will have strong hand-son experience in designing architecture of contemporary cloud-native products/platforms.  The candidate will also have a working knowledge of AI and the advancements in generative AI to design and collaborate effectively while building an AI development platform.. 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.

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 Vice President 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:

This is a hands-on technical Environment Manager (VP lead) position that develops and maintains software solutions that support business needs
o Design scalable, robust, secure and flexible architecture of components of the AI development platform.
o Collaborate with product managers and other stakeholders to gather and analyze requirements, translate them into technical specifications and architecture documentation.
o Ensure the architecture is aligned with respect to principles, patterns, cyber security recommendations and is reviewed with relevant stakeholders.
o Ensure smooth integration of 3rd party vendor products/platforms into the AI platform components.
o Contribute to build vs. buy studies by understanding and explaining vendor product or open-source architectures for specific subdomains of the AI platform.
o Design automated testing approaches to ensure robust, scalable, observable, reliable and secure platform components.
o Develop tooling and self-service capabilities for deploying AI solutions. Collaborate with developers to enhance the developer experience when building and deploying AI applications
o Understanding of ML Ops and LLM Ops challenges and tools available in this space to implement ML Ops (both 3rd party Vendor as well as Open Source)
o Mentor software engineers for best practices and on new technologies.

What you’ll bring to the role:

Required Skills:
o Strong understanding and experience designing and building software following cloud-native architecture with microservices, Kubernetes, docker, kafka, etc.
o Expert understanding and hands-on experience in at least 1 public cloud platform (such as Azure/AWS/GCP), preferably with an architect-level certification.
o Knowledge of Generative AI development, embeddings, Generative AI models
o Familiarity with deep learning and Machine Learning frameworks such as TensorFlow or PyTorch.
o Strong hands on Application Development background in atleast one prominent programming language, preferably Python
o Broad understanding of data engineering (SQL, NoSQL, Big Data), data governance, data privacy and security
o Demonstrated experience in DevOps, git, CI/ CD pipelines and testing frameworks .
o Understanding of ModelOps/ ML Ops/ LLM Ops
o Ability to articulate technical concepts effectively to diverse audiences
o Demonstrated ability to work effectively in a global organization and across time zones
o Strong analytical and problem-solving skills to tackle complex technical challenges.
 

Desired Skills
o Understanding of Responsible AI, AI Ethics
o Understanding of Domain-driven design strategic and tactical patterns.
o Understanding of Information Security, Secure coding practices
o Experience working with cloud providers, preferably Azure, but also AWS, GCP
o Experience working in a large regulated industry such as Financial Services, Insurance etc.

Qualifications
o Bachelor’s or Master’s degree in Computer Science or related field, or equivalent job experience
o 10+ years of experience in software development
o 5+ years of experience architecting distributed systems
o 2+ years of experience building AI applications, preferably Generative AI and LLM based apps

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 85 years. At our foundation are five core values — putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back — that guide our more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find trusted colleagues, committed mentors and a culture that values diverse perspectives, individual intellect and cross-collaboration. Our Firm is differentiated by the caliber of our diverse team, while our company culture and commitment to inclusion define our legacy and shape our future, helping to strengthen our business and bring value to clients around the world. Learn more about how we put this commitment to action: morganstanley.com/diversity. 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.

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximise 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.

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 85 years. At our foundation are five core values — putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back — that guide our more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find trusted colleagues, committed mentors and a culture that values diverse perspectives, individual intellect and cross-collaboration. We Firm is differentiated by the caliber of our diverse team. While our company culture and commitment to inclusion define our legacy and shape our future, helping to strengthen our business and bring value to clients around the world. Learn more about how we put this commitment to action: morganstanley.com/diversity. 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.

We're committed to bringing passion and customer focus to the business.

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.