Principal Architect - AI/ML
New
Z
ZencoreAI/ML cloud consulting
We are only considering EU or UK based candidatesFull-TimePrincipal
Salary not disclosed
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Job Details
- Required Skills
- AWSAzure
Requirements
- Master’s degree in Computer Science, natural sciences, mathematics, or a related technical field, or equivalent practical experience designing and delivering high-scale AI/ML systems.
- Extensive experience in a senior or principal architect role.
- Track record of designing and delivering complex, production-grade machine learning systems that created measurable business value.
- Hands-on architectural experience with at least one major cloud platform: GCP, AWS, or Azure.
- Expertise in LLM optimization, including quantization, pruning, efficient fine-tuning such as LoRA, and high-performance serving.
- Hands-on experience with high-performance ML frameworks such as JAX or PyTorch/XLA for training or fine-tuning large-scale models.
- Expertise designing and deploying agentic workflows using code-centric and low-code approaches.
- Strong understanding of architectural patterns for secure, private, and data-sovereign AI solutions.
- Experience with LLM observability and evaluation frameworks.
- Exceptional communication and stakeholder management skills, including explaining technical concepts and business value to technical and non-technical audiences.
- Passion for mentoring and continuous learning.
Responsibilities
- Serve as the senior technical authority on practical applications of AI and machine learning.
- Partner with sales and business development teams to scope opportunities, design proposal solutions, and contribute to client pitches.
- Lead the architecture and design of secure, scalable AI solutions for clients.
- Collaborate with Cloud and Data Architects on comprehensive client solutions.
- Design private, data-sovereign AI systems that meet GDPR and data privacy requirements, with attention to explainability, bias mitigation, and ethical standards.
- Architect hosting, fine-tuning, and optimization for proprietary and open-source models on hyperscaler platforms.
- Guide clients in selecting cloud-native technologies, prioritizing Google Cloud for production-grade agentic systems.
- Mentor customers and engineering teams on high-performance training, model serving, and agentic systems.
- Perform ROI analysis and implement cost-optimization strategies for AI deployments.
- Contribute to Zencore’s technical profile through blog posts, conference presentations, and community engagement.
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