AI Development Solution Engineer

Technology Architecture & Modernization (A+M) unites a highly inter-connected set of functions in a pivotal role driving the over-arching technical framework, product delivery and developer enablement teams at the center of Morgan Stanley's technology strategy. Combining efforts to modernize technologies, architecture and development practices, A+M drives the Firm's multi-year Technology Modernization roadmap to more effective and innovative technology platforms, enabling our business to serve evolving client demands in a highly competitive industry.

As the group expands and matures, we continue to add top technical talent, experienced professionals driven by the pursuit of engineering excellence, looking for complex and challenging technology roles with impact, visibility and unparalleled opportunities to work across Technology in multi-disciplinary collaboration with high performing teams, including our Distinguished Engineers.

Morgan Stanley has been at the forefront of the AI journey with applications such as Genome and AI@MS Assistant that use AI to provide better, personalized advice to our clients. 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.

What you'll do in the role:

• 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.

What you'll bring to the role:

• Bachelor's or a master's degree in computer science or related field, or equivalent job experience
• 6 years of experience in software engineering, design, and development
• 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

Desired Skills

• 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

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.

Expected base pay rates for the role will be between $108,000 and $165,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.

Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees.

It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.

Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).