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Morgan Stanley

Forward Deployed Engineer - Vice President

Morgan Stanley is hiring a Forward Deployed Engineer - Vice President in New York, United States. It pays $155k-$215k a year and Level rates it ; you can apply on Morgan Stanley.

Level's read on this job

  • Level rates this forward deployed engineer role Builds AI ●●●●: the job is building AI systems.
  • The posting mentions LangChain, LangGraph and Cursor among its tools and skills.
  • Level classes it as an executive role.
  • Morgan Stanley has 1,200+ other open roles on Level.

AI in this role

Lead AI initiatives and build scalable search and distribution systems utilizing LLMs, RAG, and agent orchestration as a Forward Deployed Engineer.

LangChainLangGraphCursor
ragllm-integrationllmagent-orchestrationworkflow-automationpython

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.

What you'll do in the role:

  • 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.


What you'll bring to the role:

  • 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
    • NO-SQL / Search: Elasticsearch, MongoDB
    • Cloud : Azure (preferable), Terraform, Ansible, Kubernetes, Docker
    • Observability: Datadog, Elastic
    • Devops : CI/CD pipelines, GitOPs, Github Actions
    • Java tech: Strong Core Java, SpringBoot, Spring AI, Spring Cloud
      Streaming and Asynchronous processing : Apache Kafka, Kafka Streams
    • RDBMS : Postgres
    • 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


WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years. 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. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. 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.

Expected base pay rates for the role will be between $155,000 and $215,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.

Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.

How we rate this

Forward Deployed Engineer - Vice President at Morgan Stanley rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGLLM IntegrationLLMAgent OrchestrationWorkflow AutomationPythonLangChainLangGraph

Also common in forward deployed engineer jobs at this level

Pay

This job starts at
$155k
Typical forward deployed engineer job
$180k

This posting starts 14% below the typical forward deployed engineer job. See forward deployed engineer jobs

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. How have you integrated a large language model into a production application?
  3. Tell me about a project where llm was part of your work. What did you do?
  4. Tell me about a project where agent orchestration was part of your work. What did you do?
  5. Tell me about a project where workflow automation was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: RAG, LLM Integration, LLM, Agent Orchestration, and Workflow Automation. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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