Morgan Stanley

AI Development Solution Engineer - Associate

Morgan Stanley
Apply
23 hours ago
Alpharetta, GA, USASenior / Staff+

Base Salary

$70k - $120k/yr

Responsibilities

  • Build proofs of concept, prototypes, example code, and reusable solutions using Generative AI models.
  • Develop advanced usage patterns and best practices for GenAI applications and the broader Generative AI ecosystem.
  • Collaborate with AI engineers to prioritize capabilities for the firmwide AI platform roadmap.
  • Advise application owners and developers on models, tools, libraries, and AI development patterns.
  • Troubleshoot customer adoption of GenAI platform capabilities and update user documentation.
  • Provide feedback to platform engineering teams to improve customer experience.
  • Enable application teams to use pre-trained and fine-tuned models at scale.
  • Communicate technical concepts effectively to diverse audiences and influence development teams.

Requirements

  • Bachelor's or master's degree in computer science or a related field, or equivalent job experience.
  • 8–12 years of experience in software engineering, design, and development.
  • Experience developing Generative AI applications and working with deep learning and contemporary model architectures.
  • Strong hands-on proficiency in Python and machine learning libraries including NumPy, OpenCV, scikit-learn, pandas, Matplotlib, and seaborn.
  • Understanding of the AI/ML lifecycle and systems such as MLflow, Dataiku, and Databricks.
  • Understanding of data engineering, SQL, NoSQL, big data, data governance, data privacy, and security.
  • Demonstrated DevOps experience and hands-on experience managing code in Bitbucket and GitHub repositories.
  • Understanding of deep learning and machine learning frameworks such as TensorFlow and PyTorch.
  • Experience working with cloud providers, preferably Azure, AWS, or GCP.
  • Experience with AI development services including Azure OpenAI, Azure AI Foundry, Azure Search, Azure Cognitive Services, AWS Bedrock, AWS SageMaker, and Google Vertex AI.
  • Experience with Generative AI development, embeddings, fine-tuning, and ModelOps, MLOps, or LLMOps is preferred.
  • Experience working with application development teams, creating code samples, and operating in a large regulated industry is preferred.
  • Excellent communication, collaboration, and influencing skills across global teams and time zones.

Benefits

  • Morgan Stanley offers comprehensive employee benefits and perks supporting employees and their families throughout their work-life journey.
  • The role offers opportunities to work with global teams and move across the business for employees who demonstrate passion and grit.
  • The stated base pay range is $70,000–$120,000 per year, with potential additional compensation and benefits programs.

Tech Stack

AWSAzureDatabricksGoogle Cloud PlatformMatplotlibMLflowNumPyOpenCVPandasPythonPyTorchscikit-learnSeabornSQLTensorFlow

Categories

Solutions Engineering
Morgan Stanley

About Morgan Stanley

10,000+ employees

Morgan Stanley is a global financial services firm that provides investment banking, sales and trading, wealth management, and investment management to corporations, governments, institutions, and individuals. It earns fees, commissions, and interest and trading income across advisory, underwriting, brokerage, and asset management businesses. Founded in 1935 and headquartered in New York, the public company operates in more than 40 countries through thousands of offices, including a large U.S. wealth management franchise.

Contact me