Job Description
Join the Architects of Tomorrow.
We are seeking a visionary Senior AI Architect to lead the design and implementation of next-generation Agentic AI systems. As we prepare for the technological leap into 2026, we need an expert who can build autonomous, self-improving intelligence layers that redefine industry standards.
In this role, you won't just maintain existing models; you will architect the infrastructure that powers the autonomous agents of the future. You will bridge the gap between theoretical AI research and production-grade, scalable software.
Why Join Us?
- Future-Proof Role: Work on cutting-edge technology stack expected to dominate the market by 2026.
- Competitive Compensation: Base salary $180k - $250k + equity.
- Remote-First Culture: Flexible work environment in the heart of Silicon Valley.
Responsibilities
- Design and deploy Autonomous AI Agents capable of complex reasoning and self-correction.
- Architect scalable MLOps pipelines for LLM fine-tuning and deployment.
- Collaborate with cross-functional teams to integrate AI capabilities into core product ecosystems.
- Define technical roadmaps for AI infrastructure evolution leading up to 2026.
- Optimize model inference for low-latency, high-volume environments.
- Conduct research on emerging paradigms such as Multimodal AI and Federated Learning.
Qualifications
- Master’s degree or Ph.D. in Computer Science, AI, or a related technical field.
- 5+ years of experience in Machine Learning Engineering, NLP, or Deep Learning.
- Expert proficiency in Python, PyTorch, or TensorFlow.
- Deep understanding of LLM architectures (Transformers, GPT, LLaMA).
- Experience with vector databases (Pinecone, Milvus) and RAG architectures.
- Strong background in cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).