Principal Architect, AI/ML

🕒 April 17

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

🤖 AI Engineer

👻 Ghost score 32%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Zencore

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

💼 Consulting

Artificial Intelligence • Cloud Computing • Consulting

Zencore is a premier Google Cloud consulting and engineering firm founded by a team of former Google engineers and executives. The company specializes in data, AI, and cloud migration services, delivering comprehensive implementation and operational solutions. Zencore is a trusted advisor to some of Google Cloud's largest and most complex clients, helping them to reduce risk and ensure success through tailored plans that maximize value and optimize performance. With expertise in Google Cloud services, Zencore provides solutions in infrastructure modernization, application development, machine learning, and artificial intelligence. Zencore's global reach and boutique model ensure a strong collaborative culture and client-focused approach.

📋 Description

• Serve as Zencore’s senior-most technical authority on the practical application of advanced artificial intelligence and machine learning. • Partner with the sales and business development teams in a pre-sales capacity to scope opportunities, design solutions for proposals, and act as the senior technical voice in client pitches. • Lead the architecture and design of sophisticated, secure, and scalable AI solutions for our clients, moving beyond standard API integrations to create genuine competitive advantages. • Collaborate closely with Cloud & Data Architects to guarantee the design and deployment of comprehensive client solutions. • Address the growing 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 safety guardrails. • Architect solutions for hosting, fine-tuning, and optimizing both proprietary (e.g., Gemini, Claude) and open-source (e.g., Llama, Mistral) models on hyperscaler platforms. • Lead clients in selecting optimal cloud-native technologies, prioritizing Google Cloud solutions for deploying and scaling production-grade agentic systems. • 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). • 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. • Act as an external thought leader, contributing to the Zencore brand through blog posts, conference presentations, and community engagement. • Act as a "player-coach," providing hands-on leadership and fostering a culture of deep technical excellence in AI/ML.

🎯 Requirements

• Master’s degree in Computer Science, natural sciences, mathematics, or a related technical field, or equivalent practical experience in designing and delivering high-scale AI/ML systems. • Extensive experience in a senior or principal architect role with a proven track record of designing and delivering complex, production-grade machine learning systems that have created measurable business value. • Deep, hands-on architectural experience with at least one major cloud platform (GCP, AWS, or Azure) is required. • Direct, hands-on experience with Google Cloud (Vertex AI, GKE, TPUs) is a significant plus. • 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). • Hands-on experience with high-performance ML frameworks (e.g., JAX, PyTorch/XLA) for training or fine-tuning large-scale models. • 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. • A strong understanding of the architectural patterns required for building secure, private, and data-sovereign AI solutions. • Experience with LLM observability and evaluation frameworks (e.g., LangSmith, LangFuse, Vertex AI Evaluation). • Exceptional communication and stakeholder management skills, with the ability to articulate complex technical concepts and their business value to both technical and non-technical audiences. • A passion for mentoring and a drive for continuous learning in the fast-evolving AI landscape.

🏖️ Benefits

• We are a fully remote company and offer competitive compensation and benefits. • Zencore is committed to a diverse and inclusive workplace. • Zencore is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.