Senior Engineering Manager – Data, AI and Knowledge Graph Platforms

Morgan Stanley • New York, NY

1d

About The Position

The Firmwide Data Office (FDO) is seeking an enthusiastic, dynamic, hands-on, and delivery-focused Application Development Lead (Technical Architect) for an innovative program. This initiative aims to harness the power of Graph & Semantic Technologies, combined with LLMs and Agentic AI, to build an Enterprise Knowledge Graph. The role will lead delivery while shaping system design and technical direction, with the ability to go hands-on, especially leveraging model AI-assisted development tools. As a member of the Software Development team, we look for individuals passionate about solving business problems through innovation and engineering practices. You will apply your depth of knowledge and expertise to all aspects of the software development lifecycle, partnering with stakeholders to stay focused on business goals. We embrace a culture of experimentation and continuous improvement and learning. You will work in a collaborative, trusting, and thought-provoking environment that encourages diversity of thought and creative solutions in the best interests of our global customers. You will combine your design and development expertise with a quest to create innovative technology through solid engineering practices, working with a team of inspired technologists developing and delivering top-quality technology products.

Requirements

• Bachelors or Masters Degree in Computer Science, Computer Engineering, Data Analytics or related field
• 12+ years of experience designing and implementing n-tier distributed full-stack applications, with recent experience as Engineering or Tech lead
• Strong experience in Big-data technologies (e.g. complex data pipelines, streaming systems, Lakehouse based platforms, Snowflake and Snowflake Cortex AI), data architecture & platform design, semantic & knowledge graph platforms
• Successful experience leading high-performing development and engineering teams with a proven and demonstrable track record of execution and delivery
• Strong problem-solving skills, business acumen, and demonstrated excellent oral and written communication skills with both technical and non-technical audiences
• Experience & expertise across following aspects: Java – Core Java, Multithreading, Spring, Caching, Security/Authentication
• API Design and Development – REST, GraphQL, JSON, Microservices Architecture
• Experience architecting, designing and deploying applications on Microsoft Azure or AWS.
• Design Patterns, Object Oriented Design
• Agile Development, TDD, BDD
• Full software development life cycle
• Implementing DevOps techniques and practices like Continuous Integration, Continuous Deployment, Test Automation, Build Automation and Test-Driven Development to enable the rapid delivery of working code-utilizing tools like Jenkins, Gradle and Git
• Scalability, High Availability, Failover
• Databases - SQL, Stored Procedures, Query Tuning
• Python Programming
• Linux/Unix, Shell Scripting
• Semantic and Graph Technologies - Graph DB / Triple Stores like Stardog, GraphDB, NoSQL DBs, SPARQL, Ontology, RDF, OWL, R2RML, Graph Analytics & Inferencing
• Experience building Chatbots and other analytics applications using LLMs, Machine Learning, Natural Language Processing (NLP), Vector DBs

Nice To Haves

• Data Modeling, Ontology development
• Experience with ML Ops best practices and implementation
• Experience in Financial Services working with various front-to-back business functions like Sales and Trading, Operations, Finance etc.

Responsibilities

• Leading diverse technology team contributing to this strategic initiative, setting high standards for design, execution and delivery
• Develop people through coaching, mentoring and management
• Lead the design, development and support of full-stack, n-tier distributed applications
• Act as a thought leader in the technical space through researching and knowing industry trends as well as cutting edge tools and technologies
• Collaborate with business and other technology teams to translate business requirements into innovative solutions implementing performant, scalable, resilient distributed applications
• Work closely with business and technology stakeholders to align development priorities & planning with product and technology roadmap
• Leverage modern AI development tools to accelerate engineering productivity and innovation

Benefits

• commission earnings
• incentive compensation
• discretionary bonuses
• other short and long-term incentive packages
• other Morgan Stanley sponsored benefit programs

What This Job Offers

• Job Type: Full-time
• Career Level: Senior