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.
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.
