Artificial Intelligence Architect
About The RoleWe'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 DoDesign the enterprise AI/ML architecture, including reference patterns and multi-entity / multi-tenant architectures with governed data boundariesEvaluate and select AI platforms, frameworks, and cloud servicesEstablish technical standards for model development, testing, and deploymentDesign agentic search and retrieval systems for enterprise knowledge groundingReview and approve architecture for all AI use cases before they reach productionDefine data architecture requirements for ML pipelinesLead build vs. buy evaluations for AI toolingMentor technical team members and drive engineering excellenceStay current on AI/ML technology trends and assess their relevance to our roadmapQualifications8+ years in software or data architecture, with 4+ years focused on ML systemsDeep expertise in cloud platforms (AWS, Azure, or GCP) and their ML servicesProven experience designing production ML pipelines at enterprise scaleStrong understanding of MLOps, model monitoring, and deployment patternsExperience with both traditional ML and modern LLM/GenAI architecturesFamiliarity with core enterprise infrastructure architectureSkillsLanguages: Python, SQL, and Scala for ML and data engineeringML frameworks: PyTorch, TensorFlow, scikit-learn, and Hugging FaceMLOps: Docker, Kubernetes, CI/CD, MLflow, and model registriesCloud & data: AWS, Azure, GCP, Spark, Airflow, and feature storesLLM, GenAI & agentic search: RAG, fine-tuning, prompt engineering, vector databases, query planning, tool use, retrieval orchestration, and multi-step reasoningResponsible AI: governance, model monitoring, and security by designSolution mindset: design thinking, trade-off analysis, and pragmatic deliveryM2SP