AI & Data Architect

Role overview

What you’ll do

• Define and communicate enterprise Data and AI architecture strategies, roadmaps, standards, and design patterns.
• Design scalable, secure, and resilient cloud-native platforms aligned with enterprise architecture principles.
• Develop architecture blueprints and implementation approaches that meet security, governance, and operational requirements.
• Architect AI/ML platforms spanning model training, experimentation, deployment, serving, feature stores, and MLOps.
• Drive adoption of Generative AI, event-driven and serverless architectures, DevSecOps, and Infrastructure as Code.
• Lead technical, cost, and risk assessments and build-versus-buy recommendations.
• Partner across business, architecture, engineering, and delivery teams to align solutions and execution.
• Manage cross-team dependencies and support major platform transformation and migration initiatives.
• Provide technical leadership, mentoring, and architectural guidance across workstreams.

Qualifications

• 10+ years of solution architecture experience, preferably in enterprise-scale Data and AI environments.
• Demonstrated experience designing and delivering cloud-based Data and AI platforms.
• Leadership and stakeholder-influence skills, with strong communication across technical and business audiences.
• Experience in Agile delivery environments and ability to manage multiple strategic initiatives.
• Professional proficiency in both French and English.

Core technical skills

• AWS expertise, including Lambda, S3, EC2, ECS, RDS, DynamoDB, API Gateway, ALB, CloudWatch, SageMaker, and AgentCore.
• Enterprise data platform architecture, ecosystem design, integration, governance, standards, and best practices.
• AI/ML model lifecycle, deployment, hosting, experimentation, orchestration, and MLOps pipelines.
• Authentication, authorization, secure architecture, compliance, monitoring, logging, alerting, and enterprise risk governance.
• Docker, Kubernetes, serverless and event-driven architecture, Infrastructure as Code, and DevSecOps.
• Hands-on experience with Databricks and/or SageMaker.

About Highspring

Opportunities

• The role offers work on large-scale transformation initiatives using cloud, analytics, and AI technologies, with access to learning, certification, and professional development opportunities.