Principal Architect, AI/ML - Zencore

Zencore is a fast-growing company founded by former Google Cloud leaders, architects, and engineers. We are seeking candidates with significant experience in Google Cloud to join our team. Our engagements aim to eliminate obstacles, reduce risk, and accelerate timelines for customers transitioning to Google and seeking assistance with data and application modernization. We embed within customer teams to provide strategic guidance, facilitate technology decisions, and execute projects in a collaborative, co-development style.

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.

At Zencore , a Principal Architect is a key technical leader in our engineering organization and acts as an ambassador of our technical and cloud engineering expertise. Principal Architects at Zencore are able to navigate a broad technical range but are specialized in one or more domains. They are responsible for the technical oversight and end-to-end delivery of projects within our professional services business.

Whilst this is remote role, we are only considering US based candidates and do not offer visa sponsorship.

What you will do...

• 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 top