AI Platform Engineer

Morgan Stanley

  • Glasgow
  • Permanent
  • Full-time
  • 1 month ago
AI Platform EngineerGlasgowJR016085This role is for a platform engineer who will help build a firmwide AI Development Platform and drive adoption of AI capabilities throughout the enterprise. We have multiple focus areas across the platform and are looking for energetic, multi-disciplinary candidates who are eager to contribute to providing scalable, secure, enterprise-wide solutions for the firm.Our mission is to develop a firmwide Artificial Intelligence (AI) Development Platform that aligns with the firm's Technology principles and drives efficiency and consistency, controls, security and strong governance and promotes innovation, enabling teams to build applications that leverage AI capabilities and accelerate the adoption of AI across our businesses.The ideal candidate will have strong hands-on experience building software platforms on any combination of the following platforms - Kubernetes, Cloud (AWS, Azure, and/or Google), API based development, REST framework, data engineering, and large-scale API Gateway environments etc. Knowledge of AIML and hands-on experience implementing solutions using Generative AI are also preferable. The candidate will have great communication skills, a team-based mentality and a strong passion for using AI to increase productivity as well as help generate new ideas for product & technical improvements.For more information about the AI Development Platform suite of capabilities - see https://jive.ms.com/docs/DOC-927020Primary Responsibilities
  • Below is a sample of potential responsibilities depending on product / focus area
  • Develop tooling and self-service capabilities for deploying AI solutions for the firm leveraging Kubernetes/OpenShift, Python, authentication solutions, APIs, REST framework, etc
  • Develop Terraform modules and Cloud architecture to enable secure AI cloud service deployment and consumption at scale
  • Have a platform mindset and build common, reusable solutions to scale Generative AI use cases using pre-trained models as well as fine-tuned models.
  • Leverage Kubernetes/OpenShift to develop modern containerized workloads
  • Integrate with capabilities such as large-scale vector stores for embeddings.
  • Author best practices on the Generative AI ecosystem, when to use which tools, available models such as GPT, Llama, Hugging Face etc. and libraries such as Langchain
  • Analyze, investigate, and implement GenAI solutions focusing on Agentic Orchestration and Agent Builder frameworks.
  • Author and publish architecture decision records to capture major design decisions and product selection for building Generative AI solutions. Inclusive of app authentication, service communication, state externalization, container layering strategy and immutability.
  • Ensure AI platform are reliable, scalable, and operational; (e.g. blueprints for upgrade/release strategies (E.g. Blue/Green); logging/monitoring/metrics; automation of system management tasks)
  • Participate in all team's Agile/ Scrum ceremonies.
  • Participate in team's oncall rotation in build/run team model
Required Skills
  • Strong hands-on Application Development background in at least one prominent programming language, preferably Python?Flask or FAST Api.
  • Broad understanding of data engineering (SQL, NoSQL, Big Data, Kafka, Redis), data governance, data privacy and security.
  • Experience in development, management, and deployment of Kubernetes workloads, preferably on OpenShift.
  • Experience with designing, developing, and managing RESTful services for large-scale enterprise solutions.
  • Experience deploying applications on Azure, AWS, and/or GCP using IaC (Terraform)
  • Hands-on experience with multiprocessing, multithreading, asynchronous I/O, performance profiling in at least one prominent programming language, preferably python.
  • Ability to articulate technical concepts effectively to diverse audiences.
  • Excellent communication skills.
  • Demonstrated ability to work effectively and collaboratively in a global organization, across time zones, and across organizations
  • Demonstrated experience in DevOps, understanding of CI/CD (Jenkins) and GitOps.
  • Knowledge of DevOps and Agile practices.
Desired Skills
  • Practitioner of unit testing, performance testing and BDD/acceptance testing.
  • Understanding of OAuth 2.0 protocol for secure authorization.
  • Proficiency with Open Telemetry tools including Grafana, Loki, Prometheus, and Cortex.
  • Good knowledge of Microservice based architecture, industry standards, for both public and private cloud.
  • Good understanding of modern Application configuration techniques.
  • Hands on experience with Cloud Application Deployment patterns like Blue/Green.
  • Good understanding of State sharing between scalable cloud components (Kafka, dynamic distributed caching).
  • Good knowledge of various DB engines (SQL, Redis, Kafka, etc) for cloud app storage.
  • Experience building AI applications, preferably Generative AI and LLM based apps.
  • Deep understanding of AI agents, Agentic Orchestration, Multi-Agent Workflow Automation, along with hands-on experience in Agent Builder frameworks such Lang Chain and Lang Graph.
  • Experience working with Generative AI development, embeddings, fine tuning of Generative AI models.
  • Understanding of ModelOps/ ML Ops/ LLM Op.
  • Understanding of SRE techniques.
Qualifications:
  • Bachelor's or Master's degree in Computer Science or related field, or equivalent job experience
  • 5 years of experience in software engineering, design and development
WHAT YOU CAN EXPECT FROM MORGAN STANLEY:We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 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.Certified Persons Regulatory Requirements:
If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks.Flexible work statement
Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.

Morgan Stanley