Job Description
We are pioneering the next generation of Autonomous AI Systems. As we approach 2026, the demand for intelligent, self-governing agents is skyrocketing. Vertex 2026 Labs is seeking a visionary Senior AI Architect to lead the design and implementation of scalable, future-proof AI infrastructure that powers the next era of digital transformation.
In this role, you will not just write code; you will architect the neural pathways of tomorrow. You will bridge the gap between theoretical AI research and production-grade, high-performance systems. Join a team of elite engineers dedicated to building the backbone of the intelligent web.
Why Join Us?
- Work on cutting-edge Agentic AI frameworks.
- Competitive compensation and equity packages.
- Flexible work environment in the heart of San Francisco.
- Access to state-of-the-art compute resources and research papers.
Responsibilities
- Design and oversee the architecture of large-scale Agentic Workflows and autonomous agent systems.
- Optimize machine learning models for low-latency, high-throughput inference in production environments.
- Collaborate with data scientists and product teams to define technical requirements for next-gen AI features.
- Ensure system scalability, security, and reliability using cloud-native best practices.
- Stay ahead of the curve on emerging AI paradigms (e.g., LLMs, Multi-agent systems, Reinforcement Learning) and integrate them into our stack.
- Mentor junior engineers and establish coding standards for AI projects.
Qualifications
- 5+ years of experience in software engineering, with a strong focus on Machine Learning and Deep Learning.
- Expert proficiency in Python, PyTorch, or TensorFlow.
- Deep understanding of Large Language Models (LLMs), RAG architectures, and LangChain.
- Experience with distributed systems, containerization (Docker/Kubernetes), and cloud platforms (AWS/GCP/Azure).
- Strong grasp of algorithms, data structures, and software design patterns.
- Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
- Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field.