Software Engineer - Ai, Data & Agentic Systems - Director- Software Engineering

Morgan Stanley

**
Python
SQL
Ai powered data driven systems
** Morgan Stanley is seeking a Software Engineer - AI, Data & Agentic Systems to join their Enterprise Technology team. The ideal candidate will have strong hands-on experience in Python, SQL, and AI systems, focusing on building scalable, data-driven applications. **

Job Summary

  • This Director position develops and maintains software solutions that support business needs at the intersection of applied AI, data engineering, and agentic systems.
  • Leverage innovation to build connections and capabilities that power the Firm, enabling clients and colleagues to redefine markets and shape the future.
  • Morgan Stanley offers attractive and comprehensive employee benefits and perks, with ample opportunity to move about the business for those who show passion and grit.

Matching Summary

Match Score: 75

** Morgan Stanley is seeking a Software Engineer - AI, Data & Agentic Systems to join their Enterprise Technology team. The ideal candidate will have strong hands-on experience in Python, SQL, and AI systems, focusing on building scalable, data-driven applications. **

Skills & Requirements

Must-have

  • Python
  • SQL
  • AI powered data driven systems
  • production grade scalable solutions
  • RESTful APIs
  • Git

Nice-to-have

  • Agentic AI systems
  • Model Context Protocol (MCP)
  • cloud platforms
  • containerized microservices architectures
  • observability monitoring performance tuning

Key Requirements

  • 4+ years relevant experience
  • Bachelor’s degree in computer science or related field or equivalent practical experience
  • 4+ years professional software development experience
  • Strong hands-on Python experience
  • Strong proficiency in SQL
  • Solid understanding of data structures, algorithms, object-oriented design
  • Experience building or consuming RESTful APIs
  • Experience with version control systems (Git)
  • Understanding of AI and machine learning fundamentals
  • Experience building or integrating ML models
  • Familiarity with ML frameworks (PyTorch, TensorFlow, scikit learn)
  • Understanding of ML lifecycle
  • Experience or strong interest in Agentic AI systems
  • Data Engineering & Streaming Skills
  • Experience with Snowflake, Singlestore, MongoDB, Databricks

Work Rights

Not specified

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