AI / Solution Architect
Own end-to-end AI architecture for enterprise-grade platforms.
What You'll Do
Own end-to-end AI architecture for enterprise-grade platforms, ensuring every component—from data layer to model serving—is scalable, secure, and measurable.
Your Impact
Here's what you'll be responsible for in this role
Design modular AI reference architectures and integration patterns for mission-critical workloads
Define interoperability standards, APIs, and data contracts across product lines
Partner with product, data, and platform teams to embed AI safely inside existing estates
Review solution designs for performance, observability, and cost efficiency
Champion threat modeling, compliance, and Responsible AI principles
Mentor architects and senior engineers on blueprints and implementation choices
What We're Looking For
- 10+ years in solutions architecture with 5+ years building AI/ML systems
- Proven track record deploying ML systems at scale on AWS/Azure/GCP
- Depth in data modeling, feature stores, vector DBs, and API security
- Hands-on experience with MLOps stacks (Kubeflow, MLflow, Vertex, SageMaker)
- Excellent stakeholder management and technical storytelling skills
- Bachelor's/Master's in CS, Data Science, or related discipline
- Cloud certifications (AWS Solutions Architect Professional, Azure Architect Expert)
- Experience with multi-cloud and hybrid cloud architectures
- Published research in AI/ML conferences or journals
What We Offer
We believe in taking care of our team members
Competitive salary and performance bonuses
Flexible hybrid work arrangement
Health insurance for you and your family
Learning and development budget
Apply for This Position
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