PrincipalArchitect,AI/ML

## Accountabilities Serve as the senior technical authority on AI/ML architecture, guiding the design and implementation of advanced machine learning and generative AI systems. Lead pre-sales and solution design efforts, partnering with business development teams to scope opportunities and present technical solutions to clients. Architect end-to-end AI systems, including model training, fine-tuning, optimization, deployment, and production-scale serving. Design secure, privacy-compliant, and data-sovereign AI solutions aligned with regulatory requirements such as GDPR. Guide the selection and application of cloud-native technologies, with emphasis on Google Cloud and large-scale AI infrastructure. Lead the design of agentic systems and workflows using modern frameworks such as LangGraph, LangChain, and similar tooling. Optimize model performance and cost efficiency through techniques such as quantization, pruning, and advanced serving strategies. Collaborate with cloud and data architects to ensure cohesive, scalable end-to-end solutions for enterprise clients. Provide technical mentorship to internal teams and clients, establishing best practices in high-performance AI engineering. Act as a thought leader through external contributions such as technical writing, presentations, and industry engagement. Requirements: Master’s degree in Computer Science, Mathematics, Engineering, or a related technical field, or equivalent practical experience. Extensive experience in senior or principal architecture roles delivering production-grade AI/ML systems at scale. Strong hands-on experience with at least one major cloud platform (Google Cloud strongly preferred; AWS or Azure acceptable). Deep expertise in LLM optimization techniques including fine-tuning (e.g., LoRA), quantization, and efficient inference (e.g., vLLM, TensorRT-LLM). Experience with modern ML frameworks such as PyTorch, JAX, or PyTorch/XLA for training and deployment. Proven ability to design and implement ag