Job Description
We are seeking a visionary Senior Architect: Next-Gen AI (2026) to lead our innovation division in San Francisco. As we look toward the technological landscape of 2026, we need a pioneer who can bridge the gap between today's capabilities and tomorrow's possibilities.
In this role, you will define the architectural framework for our upcoming AI initiatives, focusing on scalability, security, and future-proofing. You will work at the intersection of Generative AI, Edge Computing, and Predictive Analytics to deliver solutions that define the next era of digital transformation.
Why Join Us?
We offer a competitive package, remote-first flexibility, and the chance to work on projects that will be integral to the global infrastructure of 2026.
Responsibilities
- Lead Strategic Roadmaps: Architect and oversee the development of scalable AI systems designed for the 2026 technological landscape.
- Model Optimization: Spearhead the research and implementation of Large Language Models (LLMs) and neural network optimizations for edge devices.
- Future-Proof Integration: Integrate emerging technologies, such as quantum-ready algorithms and predictive behavioral analytics, into existing infrastructures.
- Team Leadership: Mentor a high-performing engineering team, fostering a culture of innovation and continuous learning.
- System Security: Design robust security protocols to safeguard proprietary data and ensure compliance with upcoming regulatory standards.
- Stakeholder Collaboration: Translate complex technical concepts into actionable strategies for executive leadership and product teams.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 7+ years of experience in software engineering, with at least 3 years in AI architecture and system design.
- Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, and distributed computing systems.
- AI Proficiency: Extensive experience with LLMs, RAG (Retrieval-Augmented Generation), and fine-tuning pre-trained models.
- Problem Solving: Demonstrated ability to solve complex, unstructured problems and deliver scalable solutions under tight deadlines.
- Communication: Excellent verbal and written communication skills, capable of presenting technical proposals to non-technical stakeholders.