Forward Deployed Engineer - Vice President

Morgan-Stanley; Town of Islip (NY); On-site; USD 155,000 - 215,000; Full time

Job summary

Morgan Stanley is seeking a Forward Deployed Engineer to join the Research Technology team in New York. You will architect and implement AI-driven search and distribution pipelines, mentor juniors, and partner with stakeholders to deliver scalable, secure, and observable solutions.

You will apply expertise in LLMs, RAG, tooling integration, and modern cloud technologies to advance AI initiatives across the Research department in a fast-paced financial services environment.

Qualifications

• Strong experience with AI/GenAI solutions and LLM integration.
• Experience building scalable search/distribution systems.
• Proficiency in Java and Spring ecosystem.
• Knowledge of data pipelines, ML tools, and RAG concepts.

Responsibilities

• Lead hands-on technical work and mentor junior engineers.
• Collaborate with product leads to drive AI initiatives in Research.
• Deliver scalable AI-enabled search and distribution capabilities.
• Champion best practices for AI-enabled SDLC, cloud, and observability.

Skills

AI/GenAI

LLM integration

Data pipelines

Java core

Spring Boot

Kafka

Cloud (Azure)

Kubernetes

Python (FastAPI/Flask)

Problem solving

Tools

Elasticsearch

MongoDB

Terraform

Ansible

Docker

GitHub Actions

Datadog

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, LanggraphNO-SQL / Search: Elasticsearch, MongoDBCloud : Azure (preferable), Terraform, Ansible, Kubernetes, DockerObservability: Datadog, ElasticDevops : CI/CD pipelines, GitOPs, Github ActionsJava tech: Strong Core Java, SpringBoot, Spring AI, Spring CloudStreaming and Asynchronous processing : Apache Kafka, Kafka StreamsRDBMS : PostgresEnhanced IDEs and ecosystem: VScode (with integrations involving AI Models), Cursor, IntellijPython 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 understandingWHAT 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 .