Forward Deployed Engineer - Vice President

Socket.dev; Village of Pelham (NY); On-site; USD 155,000 - 215,000; Full time

Job summary

Morgan Stanley in New York seeks a Forward Deployed Engineer to expand AI initiatives within the Research department, building scalable search and distribution systems and leading projects with business stakeholders.

You will work with a mix of AI technologies, cloud, and data tools while collaborating across teams to deliver impactful, enterprise-grade solutions in a regulated financial environment.

Qualifications

• At least 6 years of relevant experience in software engineering or related fields.
• Expertise with LLM integration, RAG, agent orchestration, and workflow automation.
• Strong background in search systems (Elasticsearch, MongoDB) and cloud platforms.

Responsibilities

• Collaborate with product leads to improve technology solutions and deliver measurable outcomes.
• Provide technical leadership and mentor junior team members on AI-enabled platforms.
• Develop scalable data pipelines and AI-integrated distribution solutions for research content.

Skills

LLM integration

Elasticsearch

Azure

Kubernetes

Datadog

CI/CD pipelines

Core Java

Python (FastAPI)

Postgres

GitHub Actions

Tool integration

Tools

Langchain

Terraform

Ansible

Kubernetes

Docker

Kafka

Job description

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.