Consultant Conversion: Gen-AI Development Engineer (VP)

Morgan Stanley • New York, NY

1d • $150,000 - $210,000

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 Software Engineering position at VP level, which is part of the job family responsible for developing and maintaining software solutions that support business needs. 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. Technology Architecture and Modernization Technology Architecture & Modernization (A+M) unites a highly inter-connected set of functions in a pivotal role driving the over-arching technical framework, product delivery and developer enablement teams at the center of Morgan Stanley's technology strategy. Combining efforts to modernize technologies, architecture and development practices, A+M drives the Firm's multi-year Technology Modernization roadmap to more effective and innovative technology platforms, enabling our business to serve evolving client demands in a highly competitive industry. As the group expands and matures, we continue to add top technical talent, experienced professionals driven by the pursuit of engineering excellence, looking for complex and challenging technology roles with impact, visibility and unparalleled opportunities to work across Technology in multi-disciplinary collaboration with high performing teams, including our Distinguished Engineers. Job Description Morgan 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 a hands-on senior engineer who will help us with firmwide AI development that will aid the adoption of Generative AI capabilities throughout the enterprise. The ideal candidate will have strong hands-on experience of building software platforms on cloud, data engineering, API based development, REST framework etc. Knowledge of Python and hands-on experience implementing solutions using Generative AI are also preferable. 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 combination of both development and infrastructure knowledge and experience. The successful candidate must be able to demonstrate technical leadership with a track record of developing and driving innovative solutions.

Requirements

• Strong hands-on Application Development background in at least one prominent programming language, preferably Python and Java
• Demonstrated experience in DevOps, understanding of CI/ CD.
• Ability to articulate technical concepts effectively to diverse audiences.
• 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.
• Strong knowledge of Kubernetes, Docker, Open-Telemetry, Grafana, Neo4J, SQL Db
• Highly experienced with Kafka messaging
• Understanding of Mainframe COBOL or ADABAS Natural
• Understanding of coding best practices, code smells, development patterns, performance tuning

Nice To Haves

• Experience building applications using AI development services on prominent cloud platforms.
• 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

Responsibilities

• Build a platform through which developers can access Gen AI models via standard APIs
• Develop tooling and self-service capabilities for deploying AI solutions.
• Collaborate with developers to enhance the developer’s experience when building and deploying AI applications.
• Integrate with capabilities such as large-scale vector stores for embeddings
• Implement large scale systems on the Generative AI ecosystem, using LLM, GPT, Llama, Hugging Face etc. and Agentic frameworks Semantic Kernel, Langchain
• Strong knowledge of multi agent frameworks
• Have a platform mindset and build common, reusable solutions to scale Generative AI use cases using pre-trained models as well as fine-tuned models
• Contribute to major design decisions and product selection for building Generative AI solutions.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees