Designs, builds and improves the user and builder experience of Equinix’s AI products and platforms, including conversational AI, agents and agent-building tools.
Locations (2)
Dallas, Texas, United States
Toronto, Ontario, Canada
Compensation
The targeted pay range for this position in the following location is / locations are: 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
Concevoir des solutions d’intelligence artificielle agentique et de génération augmentée par récupération (RAG) avec AWS Bedrock AgentCore et assurer leur intégration aux applications numériques, aux interfaces de programmation et aux systèmes existants.
Responsibilities
Concevoir des solutions d’intelligence artificielle agentique et de génération augmentée par récupération (RAG) avec AWS Bedrock AgentCore et assurer leur intégration aux applications numériques, aux interfaces de programmation et aux systèmes existants
Développer des solutions modernes et évolutives à l’aide de Python, Java, React, TypeScript et AWS
Transformer les besoins d’affaires et les cas d’usage en intelligence artificielle en solutions technologiques robustes, sécuritaires, évolutives et industrialisables
Définir et promouvoir les bonnes pratiques de développement, de sécurité, d’observabilité et de déploiement continu avec GitHub et GitHub Actions
Évaluer, en collaboration avec les spécialistes en intelligence artificielle et les partenaires d’affaires, la qualité et les risques des agents, notamment en matière d’hallucination, de conformité et de sécurité
Requirements
Baccalauréat en informatique, en génie logiciel ou dans un domaine connexe
Stage d’hiver en génie logiciel et analyse d’affaires ou en ingénierie de données et IA, permettant d'acquérir une expérience pratique en travaillant sur des défis concrets avec l'écosystème Microsoft.
Compensation
Salaire : Colombie-Britannique / Alberta / Ontario / Nouvelle-Écosse – 25 $ par heure
Responsibilities
Collaborer avec les équipes de projet pour transformer les exigences en solutions technologiques et de données concrètes
Contribuer à la conception, au développement, aux tests et à l’amélioration continue d’applications et de solutions numériques
Analyser des données pour identifier des tendances, générer des insights et soutenir de meilleures décisions d’affaires
Explorer comment l’IA et l’IA générative peuvent accélérer le développement et améliorer la productivité
Se familiariser avec l’écosystème Microsoft et les technologies modernes de données (Azure, Power Platform, Dynamics 365, Databricks, Azure Synapse Analytics)
This is a hands-on technical role within Staffbase Build, responsible for turning specific enterprise customer needs into reliable, scalable extensions of the Staffbase platform, using its extensibility capabilities (widgets, plugins, integrations, and other platform objects). The role owns assigned customer solutions end-to-end, defining the use case with stakeholders, building and testing across the stack, deploying it, and validating it with users.
Compensation
Pay Range: $107,000 - $143,000 CAD base salary per year. Other rewards may include commissions and program-specific awards.
Responsibilities
Owning the technical design, implementation, testing, and release of assigned custom solutions end-to-end
Building across the stack (customer-facing UI, backend services, and integrations with Staffbase and third-party APIs)
Partnering with customers, consultants and internal teams, e.g. Sales, to define and detail use cases before development
Supporting pre-sales in a technical advisory capacity, primarily during requirements discovery
Validating shipped solutions with users and gathering feedback afterward
Serve as the technical design authority for MFSG's digital platforms and customer-facing experiences, translating business strategy into secure, scalable, and cost-effective solution architectures.
Compensation
The salary range for this position is between C$ 160,000.00 to $175,000.00
Responsibilities
Define end-to-end solution architectures for digital products, APIs, integrations, and data flows
Produce clear architecture artifacts, including context diagrams, sequence flows, integration maps, and decision records
Evaluate build, buy, and platform options, and recommend approaches based on business value, risk, and total cost of ownership
Prototype and validate architectural approaches to reduce delivery risk before committing teams to a direction
Embed secure-by-design principles, ensuring solutions protect sensitive financial and customer information
Requirements
Bachelor's degree in Computer Science, Software Engineering, or a related discipline
Nice to have: AWS Solutions Architect certification
Build and run search systems that connect clients with experts, including index design, cluster operations, inference services, and AI features.
Compensation
The annual base salary range for this position is 135,000-155,000. Additionally, this position is eligible for an annual discretionary bonus based on performance.
Responsibilities
Design index mappings, analyzers, and tokenizers for expert, company, project, and lead data
Write and tune queries: bool, function_score, nested, aggregations, kNN, and hybrid retrieval
Plan and run reindexes, Painless data fixes, and alias cutovers with zero downtime
Build and maintain ingestion pipelines using Logstash JDBC and change feeds
Operate Elastic Cloud deployments on Azure across prod, QA, and dev
Requirements
Bachelor’s Degree in Computer Science, Engineering, Information Technology or related field
Nice to have: Elastic certification (Certified Engineer)
Nice to have: Migrated a production workload from Solr or OpenSearch to Elasticsearch
As a Software Developer on the Dealer Solutions team, you will build and maintain features across our business management applications, which includes our in-house CMS and CRM. You'll work on backend services, APIs, and user-facing functionality, collaborating with experienced engineers to deliver reliable, high-quality software.
Own the design, development, and delivery of complex features and technical initiatives across our business management applications.
Design and implement backend services, APIs, data models, and user-facing functionality with a focus on reliability, performance, and maintainability.
Work with complex relational data models, ensuring data integrity, consistency, and efficient database operations.
Work across existing systems and technologies to understand business requirements, investigate technical challenges, and implement effective solutions.
Own the reliability of your features in production: lead incident fixes, improve monitoring, and leave the system better than you found it.
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