Atlassian
Principal Machine Learning Architect | Enterprise Agentic Search
$196K–$309K
Seattle, United States +1 · Principal · Full-time · Posted Oct 28, 2026
- Location
- Seattle, United States
Remote, Remote - Experience
- Substantial hands-on industry experience; no number of years stated.
About the job
Defines and validates the architecture for enterprise agentic search, connecting retrieval, orchestration, evaluation, and LLM training to improve agents’ ability to find evidence and complete tasks.
What you'll do
- Own architecture and technical direction for enterprise agentic search, including retrieval, orchestration, and context construction.
- Set evaluation and LLM training direction; connect production feedback and failure analysis to model improvements.
- Validate designs through prototypes and production work, and guide implementation across teams.
What they ask for
- Hands-on experience architecting, delivering, and evolving production RAG or agentic search systems used by customers, particularly for enterprise applications.
- Experience adapting and deploying LLMs, including training data, post-training methods, evaluation, and serving decisions.
- Strong evaluation and experimental skills, including benchmark design and connecting offline results to product impact.
- Strong software and distributed-systems engineering skills, with experience in data pipelines, model serving, and production observability.
Pay
$236,700 - $309,025 USD base salary (Zone A); $213,030 - $278,123 USD base salary (Zone B); $196,461 - $256,491 USD base salary (Zone C)
Tools
RAG, LLM, supervised fine-tuning, preference optimization, reinforcement learning
AI focus
Architects enterprise search for AI agents and defines LLM training, evaluation, and serving approaches to improve search planning, tool use, evidence gathering, and grounded reasoning.
Model-written summary · the original posting is authoritative