Job Description
Confiz is seeking an AI Architect who can design and drive end\-to\-end AI\-powered solutions from data engineering and model architecture to full\-stack integration and deployment. This role bridges data platforms, AI/ML systems, and application development, ensuring solutions are scalable, secure, and production\-ready. **Responsibilities** * Design and architect AI/ML solutions, including LLM\-based applications, agentic systems, and predictive models, aligned with business objectives. * Define data architecture and pipelines using Databricks (Delta Lake, Unity Catalog, MLflow) for large\-scale data processing and model training/serving. * Architect full\-stack solutions that integrate AI models into web/enterprise applications — covering front\-end, back\-end APIs, and cloud infrastructure. * Evaluate and select appropriate AI frameworks, LLM providers (OpenAI, Anthropic, Azure AI Foundry, etc.), and vector databases for use\-case fit. * Establish best practices for model lifecycle management: versioning, monitoring, retraining, and governance. * Collaborate with data engineers, ML engineers, full\-stack developers, and product owners to translate business requirements into technical architecture. * Design scalable, secure, and cost\-optimized cloud architectures (Azure/AWS/GCP) for AI workloads. * Conduct architecture reviews, POCs, and technical feasibility assessments for new AI initiatives. * Mentor engineering teams on AI integration patterns, prompt engineering, RAG pipelines, and agentic workflows. * Ensure solutions meet performance, security, and compliance standards (data privacy, responsible AI practices). **Requirements** * 10\+ years in software/solution architecture, with 4\+ years specifically in AI/ML architecture. * **AI/ML:** Strong understanding of LLMs, RAG architectures, agentic AI systems, prompt engineering, model fine\-tuning, and MLOps. * **Databricks:** Hands\-on experience with Databricks Lakehouse (Delta Lake, Unity Catalog, M