Job Description
We are at the precipice of a new era. At Aethelgard Dynamics, we aren't just building software; we are engineering the infrastructure for the year 2026 and beyond. As a Senior AI Architect, you will be the vanguard of our mission to integrate advanced generative models with quantum-ready distributed systems. You will define the architectural blueprints that will power the next decade of human-machine collaboration.
Join a team of elite engineers, futurists, and strategists working from our state-of-the-art headquarters in the heart of San Francisco. We offer a competitive compensation package, equity options, and the unique opportunity to leave a lasting legacy on the technological landscape.
Why Join Us?
- Work on cutting-edge projects that define the future.
- Flexible remote-first policy with a premium in-office experience.
- Top-tier health, dental, and vision coverage.
- Annual stipend for continuous learning and development.
Responsibilities
- Architectural Leadership: Design and implement scalable, high-performance AI infrastructure capable of supporting complex, real-time data processing for the 2026 landscape.
- R&D Strategy: Lead research initiatives in emerging technologies, including Large Language Models (LLMs), edge computing, and predictive analytics.
- Team Mentorship: Guide a diverse team of senior engineers and data scientists, fostering a culture of innovation, technical excellence, and continuous improvement.
- System Optimization: Oversee the deployment and optimization of cloud-native systems, ensuring 99.99% uptime and minimal latency.
- Stakeholder Collaboration: Translate complex technical requirements into actionable business 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: Minimum of 8+ years of experience in software engineering, with at least 4 years in a lead architectural role within high-scale tech environments.
- Technical Skills: Proficiency in Python, TensorFlow/PyTorch, and cloud platforms (AWS, GCP, or Azure). Experience with Kubernetes and microservices architecture is essential.
- Innovation Mindset: Demonstrated ability to identify trends in AI and predict how they will evolve by 2026.
- Communication: Exceptional verbal and written communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.