AI Platform Engineer / Architect - VP
Marks & Spencer Group plc22 hours ago
Base Salary
$155k - $215k/yr
Responsibilities
- Build tooling and self-service capabilities for deploying enterprise AI solutions using Kubernetes/OpenShift, Python, authentication solutions, APIs, and REST frameworks.
- Develop Terraform modules and cloud architecture for secure AI service deployment and consumption at scale.
- Build reusable platform solutions for generative AI use cases using pre-trained and fine-tuned models.
- Develop containerized Kubernetes/OpenShift workloads and integrate large-scale vector stores for embeddings.
- Define generative AI ecosystem best practices covering tools, models, libraries, and agent-builder frameworks.
- Implement generative AI solutions focused on agentic orchestration and agent-builder frameworks.
- Author architecture decision records covering authentication, service communication, state externalization, container layering, immutability, and product selection.
- Improve platform reliability and operations through upgrade and release blueprints, logging, monitoring, metrics, and system-management 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.
- Broad understanding of data engineering, SQL, NoSQL, big data, Kafka, Redis, data governance, data 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 Google Cloud using Terraform and infrastructure as code.
- Hands-on experience with multiprocessing, multithreading, asynchronous I/O, and performance profiling.
- Demonstrated DevOps experience, including CI/CD with Jenkins and GitOps.
- Experience with testing practices, including unit, performance, and BDD/acceptance testing, is preferred.
- Understanding of OAuth 2.0, OpenTelemetry tooling, microservice architecture, cloud application configuration, blue/green deployment, distributed state sharing, and cloud database engines.
- Experience building generative AI and LLM-based applications, embeddings, model fine-tuning, AI agents, agentic orchestration, multi-agent workflow automation, and agent-builder frameworks such as LangChain and LangGraph.
- Understanding of ModelOps, MLOps, LLMOps, and SRE techniques.
- Ability to communicate technical concepts effectively and collaborate across global teams and time zones.
Benefits
- Comprehensive employee benefits and perks for employees and their families.
- Opportunities to work with global teams in Morgan Stanley's offices across more than 40 countries.
- Supportive, inclusive work environment with opportunities for professional mobility and advancement.
- Expected base pay is $155,000-$215,000 per year, excluding incentive compensation and other benefits.
Tech Stack
Apache KafkaAWSAzureFastAPIFlaskGoogle CloudGrafanaJenkinsKubernetesOpenShiftPrometheusPythonRedisSQLTerraform
Categories
About Marks & Spencer Group plc
Marks & Spencer Group plc is a British retailer selling clothing, home goods, and food to consumers through stores and ecommerce, with a focus on own-brand products. The company is listed on the London Stock Exchange, was founded in 1884, and is headquartered in London. In the UK, its online grocery offering runs via Ocado Retail, a joint venture in which M&S holds a significant stake.