Principal Architect, AI/ML

Asks for

• agentic systemsThe ad says“As a member of our Cloud Engineering team, you will be working with fast-paced innovative companies, leveraging AI as the key driver of their transformation. Our clients will look to you as their trusted advisor, someone they can rely on and who will be there to help them along their AI journey. You will be expected to cover a large spectrum of technology topics like model optimization, high-performance training on specialized hardware (TPUs), efficient model serving (vLLM), MLOps, and complex agentic systems.”
• AI/MLThe ad says“Zencore is a fast-growing company founded by former Google Cloud leaders, architects, and engineers. We are seeking candidates with significant experience in AI/ML to join our team. Our engagements aim to eliminate obstacles, reduce risk, and accelerate timelines for customers seeking assistance with adopting and scaling modern AI solutions. We embed within customer teams to provide strategic guidance, facilitate technology decisions, and execute projects in a collaborative, co-development style.”
• AWSThe ad says“Deep, hands-on architectural experience with at least one major cloud platform (GCP, AWS, or Azure) is required.”
• AzureThe ad says“Deep, hands-on architectural experience with at least one major cloud platform (GCP, AWS, or Azure) is required.”
• cloud platformThe ad says“Deep, hands-on architectural experience with at least one major cloud platform (GCP, AWS, or Azure) is required.”
• GCPThe ad says“Deep, hands-on architectural experience with at least one major cloud platform (GCP, AWS, or Azure) is required.”
• GDPRThe ad says“Address the growing European demand for private, data-sovereign AI by designing systems that meet strict GDPR and data privacy requirements. Strive for model explainability and bias mitigation, ensuring solutions adhere to ethical standards and European safety guardrails.”
• GKEThe ad says“Direct, hands-on experience with Google Cloud (Vertex AI, GKE, TPUs) is a significant plus.”
• Google ADKThe ad says“Guide and mentor customers and Zencore's engineering teams on advanced topics, establishing best practices for high-performance training (PyTorch, JAX, TPUs), efficient model serving (vLLM), and complex agentic systems (LangGraph, Langchain, Google ADK).”
• JAXThe ad says“Guide and mentor customers and Zencore's engineering teams on advanced topics, establishing best practices for high-performance training (PyTorch, JAX, TPUs), efficient model serving (vLLM), and complex agentic systems (LangGraph, Langchain, Google ADK).”
• LangchainThe ad says“Guide and mentor customers and Zencore's engineering teams on advanced topics, establishing best practices for high-performance training (PyTorch, JAX, TPUs), efficient model serving (vLLM), and complex agentic systems (LangGraph, Langchain, Google ADK).”
• LangFuseThe ad says“Experience with LLM observability and evaluation frameworks (e.g., LangSmith, LangFuse, Vertex AI Evaluation).”
• LangGraphThe ad says“Guide and mentor customers and Zencore's engineering teams on advanced topics, establishing best practices for high-performance training (PyTorch, JAX, TPUs), efficient model serving (vLLM), and complex agentic systems (LangGraph, Langchain, Google ADK).”
• LangSmithThe ad says“Experience with LLM observability and evaluation frameworks (e.g., LangSmith, LangFuse, Vertex AI Evaluation).”
• LangSmith Agent BuilderThe ad says“Expertise in designing and deploying agentic workflows using both code-centric (e.g., LangGraph, LangChain, Google ADK) and low-code (e.g., Vertex AI Agent Builder, LangSmith Agent Builder) paradigms.”
• LLM observabilityThe ad says“Experience with LLM observability and evaluation frameworks (e.g., LangSmith, LangFuse, Vertex AI Evaluation).”
• LoRAThe ad says“Proven expertise in LLM optimization, including techniques for quantization, pruning, efficient fine-tuning (e.g., LoRA), and high-performance serving (e.g., vLLM, TensorRT-LLM).”
• MLOpsThe ad says“As a member of our Cloud Engineering team, you will be working with fast-paced innovative companies, leveraging AI as the key driver of their transformation. Our clients will look to you as their trusted advisor, someone they can rely on and who will be there to help them along their AI journey. You will be expected to cover a large spectrum of technology topics like model optimization, high-performance training on specialized hardware (TPUs), efficient model serving (vLLM), MLOps, and complex agentic systems.”
• model optimizationThe ad says“As a member of our Cloud Engineering team, you will be working with fast-paced innovative companies, leveraging AI as the key driver of their transformation. Our clients will look to you as their trusted advisor, someone they can rely on and who will be there to help them along their AI journey. You will be expected to cover a large spectrum of technology topics like model optimization, high-performance training on specialized hardware (TPUs), efficient model serving (vLLM), MLOps, and complex agentic systems.”
• pruningThe ad says“Proven expertise in LLM optimization, including techniques for quantization, pruning, efficient fine-tuning (e.g., LoRA), and high-performance serving (e.g., vLLM, TensorRT-LLM).”
• PyTorchThe ad says“Guide and mentor customers and Zencore's engineering teams on advanced topics, establishing best practices for high-performance training (PyTorch, JAX, TPUs), efficient model serving (vLLM), and complex agentic systems (LangGraph, Langchain, Google ADK).”
• PyTorch/XLAThe ad says“Hands-on experience with high-performance ML frameworks (e.g., JAX, PyTorch/XLA) for training or fine-tuning large-scale models.”
• quantizationThe ad says“Proven expertise in LLM optimization, including techniques for quantization, pruning, efficient fine-tuning (e.g., LoRA), and high-performance serving (e.g., vLLM, TensorRT-LLM).”
• ROI analysisThe ad says“Devise the financial architecture of AI solutions by performing ROI analysis and implementing cost-optimization strategies to ensure large-scale deployments remain economically sustainable for customers.”
• TensorRT-LLMThe ad says“Proven expertise in LLM optimization, including techniques for quantization, pruning, efficient fine-tuning (e.g., LoRA), and high-performance serving (e.g., vLLM, TensorRT-LLM).”
• TPUsThe ad says“As a member of our Cloud Engineering team, you will be working with fast-paced innovative companies, leveraging AI as the key driver of their transformation. Our clients will look to you as their trusted advisor, someone they can rely on and who will be there to help them along their AI journey. You will be expected to cover a large spectrum of technology topics like model optimization, high-performance training on specialized hardware (TPUs), efficient model serving (vLLM), MLOps, and complex agentic systems.”
• Vertex AIThe ad says“Direct, hands-on experience with Google Cloud (Vertex AI, GKE, TPUs) is a significant plus.”
• Vertex AI Agent BuilderThe ad says“Expertise in designing and deploying agentic workflows using both code-centric (e.g., LangGraph, LangChain, Google ADK) and low-code (e.g., Vertex AI Agent Builder, LangSmith Agent Builder) paradigms.”
• Vertex AI EvaluationThe ad says“Experience with LLM observability and evaluation frameworks (e.g., LangSmith, LangFuse, Vertex AI Evaluation).”
• vLLMThe ad says“As a member of our Cloud Engineering team, you will be working with fast-paced innovative companies, leveraging AI as the key driver of their transformation. Our clients will look to you as their trusted advisor, someone they can rely on and who will be there to help them along their AI journey. You will be expected to cover a large spectrum of technology topics like model optimization, high-performance training on specialized hardware (TPUs), efficient model serving (vLLM), MLOps, and complex agentic systems.”