AI Development Solution Engineering Specialist

Morgan Stanley • New York, NY

135d • $120,000 - $165,000

About The Position

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 & Infrastructure Engineering III position at Director 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. Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world. Our mission is to develop a firmwide Artificial Intelligence (AI) Development Platform that aligns with the firm's Technology principles and drives efficiency and consistency, controls, security and strong governance and promotes innovation, enabling teams to build applications that leverage AI capabilities and accelerate the adoption of AI across our businesses. This role is for a solution engineering specialist to work with GenAI application owners to adopt GenAI platform capabilities and develop patterns and best practices to enable GenAI application adoption at scale.

Requirements

• Bachelor's or Master's degree in computer science or 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 specific libraries like numpy, opencv, scikit-learn, pandas, matplotlib, seaborn, etc.
• Understanding of AI/ML Lifecycle and basic understanding of systems like mlflow, Dataiku, databricks.
• 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.
• Understanding of how deep learning works, understanding of Machine Learning frameworks such as TensorFlow or PyTorch.
• Ability to articulate technical concepts effectively to diverse audiences.
• Excellent communication skills.
• Strong desire and ability to influence development teams and help them adopt AI.
• Demonstrated ability to work effectively and collaboratively in a global organization, across time zones, and across organizations.

Nice To Haves

• 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.

Responsibilities

• Build Proof of Concepts and example code through which developers can leverage GenAI models to solve common problems or patterns to enable GenAI adoption at scale.
• Develop prototypes to demonstrate model capabilities, advanced usage patterns.
• Collaborate with AI engineers to prioritize capabilities for firmwide platform roadmap.
• 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.
• Troubleshoot customer adoption of genAI platform capabilities; update user documentation and provide feedback to platform engineering teams to improve future customer experience.

Benefits

• Comprehensive employee benefits and perks in the industry.
• Support for employees and their families at every point along their work-life journey.

What This Job Offers

• Career Level: Director
• Industry: Securities, Commodity Contracts, and Other Financial Investments and Related Activities
• Education Level: Bachelor's degree