* Architect production LLM solutions using RAG, tools/agents, embeddings, and vector search; select fit-for-purpose models (hosted, open-source, proprietary).* Define prompt orchestration and safety layers (prompt templates, guardrails, red-teaming, policy enforcement).* Partner with Data Science/ML Engineering on model selection, fine-tuning vs. prompt-tuning, distillation, and deployment strategies.* Design evaluation and feedback loops and telemetry for continuous improvement.* **2–4+ years** hands-on with AI/LLM solution architecture or production ML systems.* Proven track record designing secure, scalable, compliant enterprise applications.* Experience guiding multi-team programs and influencing senior stakeholders.**10+ years** in software/application architecture or senior engineering roles delivering complex, distributed systems.**LLMOps:** Model registries, CI/CD for AI. Experience with Langfuse, Langsmith or W&B**Languages/Stacks:** Proficiency in at least one of Java, Pytho...