Forward Deployed Engineer Vice President

Morgan Stanley

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
New York, NY
Salary
$155,000–$215,000 / yr
Employment
Full-time
Posted
36 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $190k
This role $185k
$133k $232k
below market most similar roles pay here above market

This role pays more than 51% of similar roles. Most pay $156,725–$222,750 — the blue band above. At the midpoint, this role pays about $185k versus about $190k for comparable roles.

Based on 240 similar postings.

Employer

About Morgan Stanley

Morgan Stanley is a global financial services firm providing investment banking, securities, wealth management, and investment management services to corporations, governments, institutions, and individuals. Industry: Investment Banking & Financial Services

Morgan Stanley currently has 41 open roles on FindRole.

Listed pay typically runs $154,000–$214,000 across 34 roles with salary data.

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View all roles at Morgan Stanley

At a glance

TL;DR · Forward Deployed Engineer Vice President

The Forward Deployed Engineer - Vice President joins the Research Technology team within the ASD super department to accelerate AI initiatives. This role involves building scalable and resilient Search and Distribution Systems while collaborating with business stakeholders to deliver strategic platform improvements. Key responsibilities include providing technical leadership, mentoring junior staff, and driving Proof of Concepts for AI integrated solutions. The position requires developing solutions involving LLMs, RAG, agent orchestration, and workflow automation. Necessary technical skills include Java, SpringBoot, Python, Node.js, and TypeScript. Candidates must be proficient with Elasticsearch, MongoDB, Azure, Terraform, Kubernetes, and Docker. Additionally, the role utilizes Apache Kafka, Datadog, and GitOps. The work focuses on modern hybrid search, sophisticated data pipelines, and Research content distribution within a financial services context.

What you'll do

  • Build scalable and resilient Search and Distribution Systems for the Research department.
  • Develop AI solutions involving LLMs, RAG, agent orchestration, and workflow automation.
  • Drive Proof of Concepts leading to the design and deployment of scalable AI integrated solutions.
  • Provide hands-on technical leadership and mentoring to junior team members.
  • Design and implement sophisticated data pipelines and modern hybrid search solutions.
  • Champion best practices for AI-integrated SDLC, Cloud technologies, and enterprise security standards.
  • Communicate with product leads to identify and implement improvements to existing technology solutions.

What we're looking for

  • At least 6 years of relevant experience is generally expected.
  • Provide solutions using LLM integration, Agentic, RAG, MCP, A2A, Tool integration, Workflow automation, Langchain, Langchain4j, and Langgraph.
  • Experience with NoSQL and Search technologies including Elasticsearch and MongoDB.
  • Experience with Cloud technologies including Azure (preferred), Terraform, Ansible, Kubernetes, and Docker.
  • Experience with Observability tools such as Datadog and Elastic.
  • Experience with DevOps practices including CI/CD pipelines, GitOps, and GitHub Actions.
  • Strong Core Java skills including SpringBoot, Spring AI, Spring Cloud Streaming, and Apache Kafka.
  • Python proficiency with at least one framework (FastAPI, Flask, or Django) and working knowledge of Node.js/TypeScript.

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