Z
Principal Architect - AI/ML
Contract type
Ongoing
Work mode
Remote · EU, UK
Experience
Lead / principal · Not stated
Level inferred from job title
Job description
Principal Architect role at Zencore acting as senior technical authority on applied AI/ML, leading architecture and delivery of AI solutions for clients. The role combines hands-on technical leadership with pre-sales and mentoring within the Cloud Engineering team.
At a glance
- Work mode
- Remote · EU, UK
What you'll 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 clients, moving beyond standard API integrations
- Collaborate closely with Cloud & Data Architects to guarantee the design and deployment of comprehensive client solutions
- Design systems that meet strict GDPR and data privacy requirements, striving for model explainability and bias mitigation
- 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 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
- Act as an external thought leader 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
What we're looking for
- 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)
- Proven expertise in LLM optimization, including 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
- 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
Nice to have
- Direct, hands-on experience with Google Cloud (Vertex AI, GKE, TPUs)
Your team
Cloud Engineering
Team working with fast-paced innovative companies leveraging AI as the key driver of their transformation
Benefits
- Competitive compensation and benefits
Apply
Direct apply at Zencore
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About Zencore
Zencore embeds within customer teams to provide strategic guidance, facilitate technology decisions, and execute projects in a collaborative, co-development style, helping customers adopt and scale modern AI solutions.
Key facts
- Fully remote company
- Professional services business
- Does not offer visa sponsorship
What they value
- Diverse and inclusive workplace