AI Platform Engineer / Architect - VP
Morgan Stanley1 day ago
Base Salary
$155k - $215k/yr
Responsibilities
- Build tooling and self-service capabilities for deploying AI solutions using Kubernetes/OpenShift, Python, authentication solutions, APIs, and REST frameworks.
- Develop Terraform modules and cloud architectures for secure, scalable AI service deployment and consumption.
- Design reusable platform solutions for generative AI use cases using pre-trained and fine-tuned models.
- Develop containerized workloads and integrate large-scale vector stores for embeddings.
- Define generative AI ecosystem best practices, tool and model selection guidance, and architecture decision records.
- Implement generative AI solutions focused on agentic orchestration and agent-builder frameworks.
- Design authentication, service communication, state externalization, container layering, and immutability strategies.
- Ensure platform reliability, scalability, and operational readiness through release strategies, logging, monitoring, metrics, and automation.
- Participate in Agile/Scrum ceremonies and the team's on-call rotation.
Requirements
- Bachelor's or Master's degree in Computer Science or a related field, or equivalent job experience.
- 8+ years of experience in software engineering, design, and development.
- Strong hands-on application development experience in a prominent programming language, preferably Python with Flask or FastAPI.
- Understanding of data engineering, including SQL, NoSQL, big data, Kafka, Redis, data governance, privacy, and security.
- Experience developing, managing, and deploying Kubernetes workloads, preferably on OpenShift.
- Experience designing, developing, and managing RESTful services for large-scale enterprise solutions.
- Experience deploying applications on Azure, AWS, and/or GCP using Terraform-based infrastructure as code.
- Experience with multiprocessing, multithreading, asynchronous I/O, and performance profiling.
- Experience with DevOps, Jenkins-based CI/CD, and GitOps.
- Ability to communicate technical concepts effectively and collaborate across global organizations and time zones.
- Preferred experience with unit, performance, BDD, and acceptance testing; OAuth 2.0; OpenTelemetry; Grafana, Loki, Prometheus, and Cortex.
- Preferred experience with cloud deployment patterns, distributed caching, database engines, generative AI and LLM applications, AI agents, agentic orchestration, LangChain, LangGraph, model fine-tuning, ModelOps/MLOps/LLMOps, and SRE techniques.
Benefits
- Morgan Stanley offers comprehensive employee benefits and perks supporting employees and their families throughout their work-life journey.
- The role is part of a global organization with opportunities to work across the firm's offices and business areas.
- The employer provides an inclusive, equal-opportunity work environment with opportunities for professional growth and internal mobility.
Tech Stack
Apache KafkaAWSAzureFastAPIFlaskGoogle Cloud PlatformGrafanaJenkinsKubernetesOpenShiftPrometheusPythonRedisSQLTerraform
About Morgan Stanley
Morgan Stanley is a global financial services firm that provides investment banking, sales and trading, wealth management, and investment management to corporations, governments, institutions, and individuals. It earns fees, commissions, and interest and trading income across advisory, underwriting, brokerage, and asset management businesses. Founded in 1935 and headquartered in New York, the public company operates in more than 40 countries through thousands of offices, including a large U.S. wealth management franchise.