Vice President - Applied AI Research Engineer

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 a Cloud & Infra Engineering Manager position at the Vice President level, which is part of the job family responsible for managing and optimizing technical infrastructure and ensuring the seamless operation of IT systems to support business needs effectively.

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

Role Profile:

M organ 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 an applied AI Research engineer who will help with deep expertise on AI models, benchmarking & evaluation, advanced usage patterns, domain-adaptation, optimization and contribute towards firmwide AI Development Platform that will aid the adoption of AI capabilities throughout the enterprise. The ideal candidate will have strong hands-on experience and drive towards understanding, experimenting and adapting leading research work on AI approaches for organization's prioritized AI challenges esp. in the generative AI domain. 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 knowledge and experience on deep learning, contemporary model architectures and a strong drive to solve real-world problems with AI techniques. The successful candidate must be able to demonstrate deep AI technology expertise with a track record of developing, adapting and optimizing AI models.

What you'll do in the role:

• Benchmark different open/closed AI models for different AI tasks.
• Study and experiment with top research papers and associated code for different AI tasks e.g. ASR, TTS, NER, embedding generation, SLMs, VLM, tools usage, planning, orchestration, guardrails, evaluation, etc.
• Develop prototype to demonstrate model capabilities, advanced usage patterns.
• Fine-tune smaller models for benchmarking on specific domains and evaluation.
• Collaborate with AI engineers to bring potential work to the platform.

What you'll bring to the role:

• Strong hands-on proficiency in Python and machine learning specific libraries like numpy, opencv, scikit-learn, pandas, matplotlib, seaborn, etc.
• Strong expertise in deep learning, its mathematical foundations, frameworks such as TensorFlow or PyTorch.
• Hands-on understanding of transfer learning, fine-tuning of deep learning models esp. contemporary language models, speech processing models, retrieval models, etc.
• Experience with NLP and basic understanding of other AI domains like computer vision, Speech processing, reinforcement learning, etc.
• Understanding of AI/ML Lifecycle and basic understanding of systems like mlflow, Dataiku, databricks.
• 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

Desired Skills

• Experience working with cloud providers, preferably Azure, but also AWS, GCP.
• Understanding of model optimization like quantization, pruning techniques.
• Understanding of knowledge graphs, GraphRAG, etc.
• Experience with managing AI workloads in Azure AI Studio, Azure Cognitive Services, 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 ModelOps/ 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 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.

Expected base pay rates for the role will be between $150,000 and $210,000 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).

Client-provided location(s): New York, NY

Job ID: Morgan-549786371038

Employment Type: FULL_TIME

Posted: 2025-09-08T18:34:53