Sr. Applied Intelligence Architect
Core
Designing and deploying enterprise AI platforms, intelligence architecture, and governance to enable secure, reusable AI solutions across engineering workflows and product experiences.
Role type
Senior Applied Intelligence Architect
Builds
Shared AI platforms, intelligence architecture, knowledge and ontology services, and developer capabilities for enterprise operations.
Domain
Enterprise AI / Machine Learning Systems / Industrial Engineering
Deliverable
production ML models
Required skills
AI architecture design, model lifecycle management, distributed systems, cloud platform engineering, Python, foundation models, multimodal models, retrieval systems, agent workflows, inference optimization, model governance, cross-functional leadership
Preferred skills
Open-weight model optimization (LoRA, quantization), agentic systems, reinforcement learning, physics-informed AI, digital twins, enterprise AI platforms (Azure AI Foundry, Kubernetes, MLflow), responsible AI practices
Technologies
Python, Azure AI Foundry, Kubernetes, MLflow, Microsoft Fabric, LoRA, digital twins
Responsibilities
Own the applied intelligence architecture and implementation roadmap; translate requirements into deployable intelligence solutions; design model-agnostic interfaces and abstraction layers; define qualification and evaluation systems; create reusable patterns for fine-tuning and inference optimization; architect closed-loop learning systems; embed governance by design; connect intelligence with enterprise tools and workflows; lead experiments and production transitions; mentor architects and engineers.
Seniority
Senior, hands-on IC with strategic influence
