1 hour ago

Base Salary

$120k - $165k/yr

Responsibilities

  • Build and own Python-based AI applications using natural-language interfaces, large language models, data analytics, and automation.
  • Develop self-service tools that enable business users to onboard and manage datasets and perform analytics.
  • Architect and manage RESTful services for large-scale enterprise solutions.
  • Optimize data ingestion and processing pipelines for efficiency and performance.
  • Design agentic workflows, talk-to-data interfaces, and generative-AI-driven commentary solutions.
  • Collaborate with Risk Management stakeholders to understand requirements and deliver AI solutions.
  • Own technical direction, architectural decisions, production reliability, incident management, and continuous improvement.
  • Provide technical leadership and mentorship to developers and senior engineers within the agile squad.

Requirements

  • Strong hands-on Python application development experience, including service APIs built with frameworks such as FastAPI or Flask.
  • Proven experience designing and delivering production-grade AI or LLM-based applications.
  • Solid understanding of data engineering fundamentals, including SQL, data modeling, and data lifecycle management.
  • Hands-on experience with concurrency and performance optimization, including multiprocessing, multithreading, and asynchronous I/O.
  • Experience with unit, integration, and performance testing.
  • Experience owning production systems, including reliability and incident management.
  • Experience setting technical direction, making architectural decisions, and mentoring engineers.
  • Desired qualifications include agentic workflow, natural-language, talk-to-data, OpenTelemetry, observability, cloud-native architecture, Docker, Kubernetes, data streaming, messaging, caching, CI/CD, DevOps, and GitOps experience.
  • Bachelor's or master's degree in computer science or a related field, or equivalent experience.
  • At least 5 years of related experience.

Benefits

  • Morgan Stanley offers comprehensive employee benefits and perks supporting employees and their families throughout their work-life journey.
  • The role is based within Morgan Stanley's global office network; specific work arrangement is not stated.

Tech Stack

Apache KafkaDockerFastAPIFlaskGitHub ActionsGrafanaJenkinsKubernetesPrometheusPythonRedisSQL
Marks & Spencer Group plc

About Marks & Spencer Group plc

10,000+ employees
Contact me