Padmi
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Zencore

Google Cloud consulting · cloud migration services

Principal Architect, AI/ML

Remote · United StatesPosted 3 months ago
Machine learningStaff+Full Time
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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.

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