We're hiring an AI Architect to define the technical foundation for all our AI/ML systems including architecture standards, platform decisions, and quality gates that let us deliver scalable, secure, and governed AI solutions tied directly to business outcomes. You'll sit at the intersection of engineering, data, and business strategy, designing the systems and setting the standards that accelerate AI adoption across the enterprise.
What You'll Do
Design the enterprise AI/ML architecture, including reference patterns and multi-entity / multi-tenant architectures with governed data boundaries
Evaluate and select AI platforms, frameworks, and cloud services
Establish technical standards for model development, testing, and deployment
Design agentic search and retrieval systems for enterprise knowledge grounding
Review and approve architecture for all AI use cases before they reach production
Define data architecture requirements for ML pipelines
Lead build vs. buy evaluations for AI tooling
Mentor technical team members and drive engineering excellence
Stay current on AI/ML technology trends and assess their relevance to our roadmap
Qualifications
8+ years in software or data architecture, with 4+ years focused on ML systems
Deep expertise in cloud platforms (AWS, Azure, or GCP) and their ML services
Proven experience designing production ML pipelines at enterprise scale
Strong understanding of MLOps, model monitoring, and deployment patterns
Experience with both traditional ML and modern LLM/GenAI architectures
Familiarity with core enterprise infrastructure architecture
Skills
Languages: Python, SQL, and Scala for ML and data engineering
ML frameworks: PyTorch, TensorFlow, scikit-learn, and Hugging Face
MLOps: Docker, Kubernetes, CI/CD, MLflow, and model registries