AI Development Solution Engineer - Associate

Morgan Stanley • Edison, NJ

2d

About The Position

Morgan Stanley is developing a firmwide Artificial Intelligence (AI) Development Platform aligned with the firm’s technology principles to promote efficiency, consistency, controls, security, governance, and innovation. The AI Development Solution Engineering Specialist works with Generative AI (GenAI) application owners to adopt platform capabilities and develops patterns and best practices that support adoption at scale.

This customer-facing role uses hands-on experience with GenAI applications, deep learning, and contemporary model architectures to help developers apply AI techniques to real-world problems. The specialist enables firmwide developers through documentation, consultation, collaborative proof-of-concept work, and sample code. The role also involves developing reusable solutions, collaborating with AI engineers on platform capabilities, and helping application teams adopt AI effectively.

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 GenAI applications.
• Strong hands-on proficiency in Python and machine learning libraries such as NumPy, OpenCV, scikit-learn, pandas, matplotlib, and seaborn.
• Understanding of the AI/ML lifecycle and basic familiarity with systems such as MLflow, Dataiku, and Databricks.
• Broad understanding of data engineering, including SQL, NoSQL, and big data, as well as data governance, privacy, and security.
• Demonstrated DevOps experience and understanding of CI/CD; hands-on experience managing code in repositories such as Bitbucket and GitHub.
• Understanding of deep learning and machine learning frameworks such as TensorFlow or PyTorch.
• Excellent communication skills and ability to articulate technical concepts to diverse audiences.
• Strong desire and ability to influence development teams and help them adopt AI.
• Ability to work effectively and collaboratively in a global organization across time zones and organizations.
• Excellent soft communication skills for a customer-facing role.

Nice To Haves

• Experience working with application development teams to help them build AI-based applications.
• Ability to create code samples for application teams.
• Experience working with cloud providers, preferably Azure, as well as AWS or GCP.
• Experience building applications using AI development services on prominent cloud platforms, such as Azure OpenAI, Azure AI Foundry, Azure Search, Azure Cognitive Services, AWS Bedrock, AWS SageMaker, or Google Vertex AI.
• Experience working in a large, regulated industry such as financial services or insurance.
• Experience building AI applications, preferably Generative AI and LLM-based applications.
• Experience with Generative AI development, embeddings, and fine-tuning Generative AI models.
• Understanding of ModelOps, MLOps, or LLMOps.

Responsibilities

• Build proofs of concept and example code that help developers use GenAI models to solve common problems and patterns, enabling adoption at scale.
• Develop prototypes to demonstrate model capabilities and advanced usage patterns.
• Collaborate with AI engineers to prioritize capabilities for the firmwide platform roadmap.
• Author best practices for the Generative AI ecosystem, including guidance on tools, models, and libraries.
• Troubleshoot customer adoption of GenAI platform capabilities, update user documentation, and provide feedback to platform engineering teams to improve customer experience.
• Develop common, reusable solutions to scale Generative AI use cases using pre-trained and fine-tuned models.
• Consult and collaborate with GenAI application owners and development teams to enable adoption of platform capabilities and AI techniques.
• Communicate technical concepts effectively to diverse audiences in a customer-facing role.

Benefits

• Morgan Stanley-sponsored benefit programs and employee benefits and perks; specific benefits are not detailed in the posting.
• The total compensation package may include commission earnings, incentive compensation, discretionary bonuses, and other short- and long-term incentive packages.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior