Forward Deployed Engineer - Vice President

Morgan Stanley•New York, NY

46d

About The Position

We're seeking someone to join our Research Technology team as a Forward Deployed Engineer in ASD super department to expand and accelerate AI initiatives in the Research department, to build sophisticated, scalable and resilient Search and Distribution Systems while collaborating effectively with business stakeholders in NY. 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. 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.

Requirements

Ability to effectively manage multiple functions or guide junior staff and initiatives.
Advanced understanding of business line and discipline with some knowledge of competitive environment and other disciplines.
At least 6 years' relevant experience would generally be expected to find the skills required for this role.
Experience with AI/GenAI: Provide solutions using LLM integration, Agentic, RAG, MCP, A2A, Tool integration, Workflow automation, Langchain, Langchain4j, Langgraph
Experience with NO-SQL / Search: Elasticsearch, MongoDB
Experience with Cloud: Azure (preferable), Terraform, Ansible, Kubernetes, Docker
Experience with Observability: Datadog, Elastic
Experience with Devops: CI/CD pipelines, GitOPs, Github Actions
Experience with Java tech: Strong Core Java, SpringBoot, Spring AI, Spring Cloud Streaming and Asynchronous processing: Apache Kafka, Kafka Streams
Experience with RDBMS: Postgres
Experience with Enhanced IDEs and ecosystem: VScode (with integrations involving AI Models), Cursor, Intellij
Python proficiency with at least one framework (FastAPI, Flask, or Django); working knowledge of Node.js/TypeScript.
Strong debugging, communication, and problem-solving skills; able to work independently and within multidisciplinary teams.
Finance business understanding

Responsibilities

Communicate regularly with product leads across the technology organization and discuss opportunities for improvement to existing and future technology solutions.
Work with the Search and Distribution Infrastructure Lead to deliver on strategic business objectives and platform improvements with measurable outcomes.
Provide hands on technical leadership and mentoring of junior team members.
Readily adapt to evolving requirements from BU stakeholders in various areas including modern hybrid search, sophisticated data pipeline and solutions for Research content distribution.
Partner with business and technology stake holders to drive Proof of Concepts leading to design and deployment of scalable AI integrated solutions.
Provide solutions involving LLMs, RAG, agent orchestration, tool integration, and workflow automation.
Adopt emerging technologies with a continuous learning mind-set and embrace innovation while balancing risk and security postures.
Collaborate with engineering and development leads to champion best practices and adoption of AI integrated SDLC and Cloud technologies and champion enterprise standards for scalability, reliability, security, observability, and governance.