Designs, builds and improves the user and builder experience of Equinix’s AI products and platforms, including conversational AI, agents and agent-building tools. Combines interaction design with engineering: prototypes working interfaces and conversation flows, tests them with real users and builders, and ships the results into production.
Locations (2)
Dallas, Texas, United States
Toronto, Ontario, Canada
Compensation
United States - Dallas Infomart Office DAI : 138,000 - 208,000 USD / Annual
Canada - Toronto Office TRO : 102,000 - 152,000 CAD / Annual
Responsibilities
Build interactive prototypes and production interface components for AI products: chat and voice flows, agent workspaces, builder consoles and admin tools
Design and implement conversation flows and response patterns: tone, structure, clarifying questions, source citations, confidence cues, error handling, and handoff to a person
Implement controls that keep users in charge: review and edit before action, confirmation for high-impact steps, undo, and clear scope of what the AI can do
Capture feedback inside the product (ratings, edits, dismissals) and route it to the teams that act on it
Contribute to a shared component library and design system for AI interfaces
Requirements
Bachelor’s degree in computer science, human-computer interaction, design, engineering or a related field, or equivalent experience
Keeps Equinix's GenAI products and platforms stable and reliable, and makes them more resilient over time. Writes the code and automation that prevents failures, rather than only responding to them. Defines service-level objectives, builds monitoring and alerting, hardens services against dependency and capacity failures, and tests failure and recovery before they happen in production. Leads incident response when issues occur and turns each incident into a lasting fix.
Locations (2)
Toronto, Ontario, Canada
Dallas, Texas, United States
Compensation
Canada - Toronto Office TRO : 102,000 - 152,000 CAD / Annual
United States - Dallas Infomart Office DAI : 138,000 - 208,000 USD / Annual
Responsibilities
Write code and automation that makes GenAI products and platforms more resilient: retries, timeouts, circuit breakers, rate limiting, graceful degradation and fallback between models and providers
Run load tests, failure-injection tests and game days to find weak points before users do, and fix what they reveal
Harden services running on Kubernetes: health checks, autoscaling, disruption budgets, resource limits and multi-zone deployment
Build AI applications and agents that help colleagues work faster and with greater clarity across Novo’s quality processes, taking work from first prototype to a usable product.
Compensation
For this role, the Annual Base Salary ranges from 651,000.00 to 956,900.00 DKK, corresponding to the level of the position.
Responsibilities
Own AI applications and agents from initial design through deployment and operation
Design and build agents, including orchestration, retrieval, tool use and integrations with enterprise systems and data sources
Build software around AI, such as APIs, data processing and application components
Work directly with users and process experts to understand workflows, test prototypes and improve based on feedback
Develop evaluation datasets and automated evaluations
Lead AI product design and development for Crimson Education’s student success platform, integrating AI tools and automating workflows to improve efficiency.
Responsibilities
Own end-to-end product experience, design dashboards and interfaces
Design for real users under real load, streamline high-volume work
Use AI to remove work, identify friction, and automate tasks
Build unified view of customer journey integrating Slack, core apps, and Google Sheets
Build proactive systems for escalation and at-risk client management
Architect, code, and lead the backend vision and full-stack execution of enterprise GenAI platforms, designing high-performance AI systems at the intersection of modern cloud-native development and cutting-edge AI.
Responsibilities
Design and build core GenAI platform components serving 180,000+ users with exceptional performance, reliability, and security across distributed systems
Implement complex features across the entire stack from Go microservices and document pipelines to React interfaces and real-time streaming architectures
Build production-grade LLM applications, architect vector databases, implement agentic capabilities, and optimize AI inference for performance and cost efficiency
Design observability solutions, lead incident response and blameless postmortems, build CI/CD pipelines, and ensure production excellence through comprehensive monitoring and alerting
Architect Kubernetes/OpenShift deployments, implement service mesh (Istio), drive infrastructure-as-code and GitOps workflows, and ensure security best practices at every layer
Requirements
Bachelor's degree in computer science, Software Engineering, or related technical field
Senior technology leader providing architecture, data, AI, and platform direction for a client organization, working onsite in Atlanta
Responsibilities
Set technical direction and drive delivery across architecture, applications, service delivery, data and analytics, product management, delivery, AI and innovation, infrastructure and cybersecurity
Lead data and AI strategy hands‑on, prototype and deploy AI use cases
Own technology roadmap, backlog, and prioritization
Align data foundation with enterprise data strategy
Act as primary technology and architecture partner to enterprise/central IT partners
Build, evaluate, and deploy agents that use Engram, working closely with researchers and customers to solve last-mile deployment problems.
Compensation
We offer competitive cash compensation and startup equity.
Responsibilities
Work with researchers to prototype and evaluate workflows that use Engram
Work directly with customers to understand their workflows, identify useful applications for Engram, and define what a successful deployment looks like
Develop evaluations with researchers and customers to understand where agents succeed, where they fail, and what changes improve performance
Build integrations and solve last-mile deployment problems across customer data, application code, and our systems
Own customer issues through resolution: diagnose failures, implement and ship fixes yourself, and verify that they work in the customer's environment
Requirements
bachelor’s degree, or equivalent practical experience, in computer science, engineering, machine learning, or a related field
Nice to have: forward-deployed or customer-facing engineering role
Nice to have: agent systems
Nice to have: retrieval pipelines
Nice to have: evaluation frameworks for real-world workflows
Design, build and deploy AI-enabled solutions that address real client and project problems, from discovery and proof of concept through to production.
Responsibilities
Design, build and deploy AI-enabled solutions
Deploy and operate AI solutions on Microsoft Azure
Develop agentic and multi-step workflows
Build and maintain Model Context Protocol servers
Integrate diverse data sources into reliable pipelines
Requirements
Bachelor's in Computer Science, Software Engineering, Data Science or related field
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