Principal, UX Designer / Engineer - AI Systems

    • Aquent Talent
  • San Bruno, CA
  • Posted 7 hours ago | Updated 7 hours ago

Overview

On Site
Full Time

Skills

User Experience
Roadmaps
Generative Artificial Intelligence (AI)
Workflow
Computer Networking
Regulatory Compliance
SSO
Management
SLA
Capacity Management
Disaster Recovery
Operational Excellence
Migration
Prototyping
Continuous Improvement
Technical Drafting
Rapid Prototyping
Innovation
Thought Leadership
Artificial Intelligence
Cloud Computing
Optimization
Continuous Integration
Continuous Delivery
Jenkins
Terraform
Automated Testing
Storage
PostgreSQL
MySQL
Microsoft SQL Server
Snow Flake Schema
Amazon DynamoDB
MongoDB
Apache Cassandra
Redis
Elasticsearch
Database
Design Optimization
Vector Databases
GraphQL
Authentication
Streaming
Apache Kafka
Grafana
Budget
Incident Management
Python
Node.js
Kubernetes
SQL
NoSQL
Machine Learning (ML)
Mentorship
Computer Science
Communication

Job Details

As a Principal UX Designer / Engineer, AI Systems in the Design Organization, you will:

  • Implement and Productionize AI Systems: Partner with design, product, and engineering leaders to translate the AI roadmap into scalable, secure, and resilient solutions that meet the needs of the Design Organization.
  • Drive AI Innovation: Identify and deliver high-impact opportunities where generative AI, LLMs, and intelligent automation can enhance creative workflows, product discovery, design quality, and speed.
  • Build and Scale Production Services: Develop reliable backend services in Python and Node.js, focusing on performance, resilience, and observability. Harden prototypes into production-ready, secure, and scalable services within Walmart-approved infrastructure and guardrails.
  • Integrate with Walmart Ecosystem: Ensure seamless integration with Walmart identity, networking, data platforms, observability, and compliance controls (e.g., SSO, secrets management, service mesh).
  • Define Production-Readiness: Establish gates for POCs, including SLA/SLO targets, error budgets, performance baselines, cost limits, capacity planning, disaster recovery, and runbooks.
  • Operational Excellence: Drive CI/CD pipelines, infrastructure as code, and migration of prototypes to dev, stage, and prod environments. Ensure operational ownership with alerting, on-call strategies, incident response, and continuous improvement.
  • Architect AI-Powered Design Tools: Lead the technical design and architecture of internal tools and subsystems that empower designers, researchers, and content strategists. Build scalable, reusable infrastructure for organization-wide AI applications.
  • Mentor and Uplift Technical Craft: Guide engineers and architects through complex architecture decisions, rapid prototyping, and AI tool selection. Foster a culture of experimentation, technical excellence, and responsible innovation.
  • Promote AI Thought Leadership: Represent the Design Organization in internal AI communities, share learnings, and influence AI adoption across Walmart.

What you'll bring:

  • Programming: Expert in Python and Node.js for backend services, data pipelines, and AI integration.
  • Kubernetes & Cloud-Native: Deep experience with Kubernetes, Helm/Kustomize, GitOps (Argo CD/Flux), service mesh (Istio/Linkerd), autoscaling, security, and cost optimization.
  • CI/CD & Infrastructure: Proficient with Jenkins (or equivalent), Terraform/CloudFormation, blue-green/canary deployments, feature flags, automated testing, and rollback strategies.
  • Data & Storage: Strong experience with SQL (Postgres, MySQL, SQL Server, Snowflake) and NoSQL (DynamoDB, MongoDB, Cassandra, Redis, Elasticsearch) databases, including schema design, optimization, and scaling. Familiarity with vector databases and embedding stores.
  • APIs & Integration: Skilled in REST and GraphQL, secure service-to-service authentication, rate limiting, quotas, and event streaming (Kafka/Pub/Sub).
  • Observability: Experience with Prometheus, Grafana, tracing, metrics, log aggregation, SLOs, error budgets, and incident response.

Minimum Qualifications:

  • 12+ years in software or platform engineering, delivering production systems at scale
  • 7+ years combined professional experience in Python and Node.js (minimum 4+ years in each)
  • 4+ years operating workloads in Kubernetes in production
  • 5+ years designing and operating both SQL and NoSQL data models
  • 2+ years building or operating ML/LLM-powered applications in production
  • 5+ years leading cross-functional architecture and mentoring senior engineers
  • Bachelor's or Master's in Computer Science or related field, or equivalent practical experience
  • Strong communication skills and a portfolio of shipped systems with measurable impact

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