Principal Architect – AI Engineering
Location:
San Francisco Bay Area, US
Sector:
Enterprise AI
Compensation:
Competitive Package
Are you the right candidate for this opportunity Make sure to read the full description below.
We are partnering with a rapidly growing enterprise technology platform that is redefining how AI drives business intelligence and decision-making. The organization leverages cutting-edge machine learning, conversational AI, and automation to deliver high-impact solutions to complex enterprise challenges.
They are looking for a Principal Architect to shape the next generation of AI capabilities. The successful candidate will define the technical vision for model training, evaluation, and deployment at scale, while guiding a talented team of ML and data engineers. Your work will influence how advanced AI powers real-world enterprise solutions.
Key Responsibilities:
Define the architecture for model training, evaluation, and deployment across the AI platform.
Evaluate and select model approaches (open-weight, commercial, hybrid) against enterprise accuracy and cost requirements.
Design evaluation frameworks that measure model quality across multiple task categories.
Architect training data pipelines, including synthetic data generation and quality validation.
Lead design of retrieval-augmented generation (RAG) systems integrating structured knowledge retrieval.
Establish technical standards for model safety, tenant data isolation, and responsible AI.
Mentor and guide ML and data engineers across multiple locations, ensuring delivery excellence.
Collaborate closely with product, AI platform, and cloud operations teams.
Hands-on coding, prototyping, and reviewing early-phase approaches.
The Ideal Candidate:
Proven experience in software engineering, focused on ML/AI systems.
Proven experience training, fine-tuning, and deploying large language models to production.
Deep expertise in transformer architectures, training optimization techniques (LoRA, QLoRA, PEFT, RLHF, DPO), and inference serving.
Proficiency in Python, PyTorch, and ML infrastructure tooling.
Advanced degree in Computer Science, Machine Learning, or equivalent practical experience. xywuqvp
Experience with enterprise B2B SaaS platforms is a strong advantage.
For more information, please apply for this role or contact Stephen Coen at