AI Solution Engineering Specialist (Hybrid)

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 This is a customer-facing role and excellent soft communications skills are mandatory. 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. Bachelor's or a 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 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 Build a career with impact. Visit morganstanley.com for more information 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. 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. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential.