Job Description
We are at the precipice of a technological singularity, and Aether Systems is leading the charge into the future. We are looking for a visionary Senior AI Architect to define the blueprint for our 2026 roadmap. In this pivotal role, you will not just write code; you will architect the neural pathways that will power the next generation of autonomous intelligence. If you are passionate about pushing the boundaries of Generative AI, Large Language Models (LLMs), and ethical machine learning, this is your opportunity to leave an indelible mark on history.
Why Join Us?
- Shape the Future: Directly influence the core technologies that will define the industry standard for 2026.
- Top-Tier Compensation: Competitive salary, equity package, and comprehensive benefits.
- Innovation Hub: Work in a collaborative environment with some of the brightest minds in the field.
The Role:
You will be responsible for the end-to-end architecture of our AI infrastructure. You will bridge the gap between theoretical research and practical deployment, ensuring our systems are scalable, secure, and aligned with human values.
Responsibilities
- Architect Next-Gen Systems: Design and implement scalable, high-performance AI architectures capable of handling petabyte-scale data processing.
- Lead Research Integration: Translate cutting-edge research in deep learning and reinforcement learning into production-ready systems.
- Model Optimization: Oversee the fine-tuning and optimization of Large Language Models (LLMs) to ensure maximum efficiency and accuracy.
- Ethical AI Compliance: Establish and enforce governance frameworks to ensure AI outputs are unbiased, safe, and compliant with global regulations.
- Technical Mentorship: Lead a team of junior architects and data scientists, fostering a culture of continuous learning and innovation.
- System Scalability: Design infrastructure that can seamlessly scale from prototype to global deployment.
- Strategic Roadmapping: Collaborate with C-suite executives to define the long-term technical vision for the company's 2026 goals.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 8+ years of professional experience in software engineering, with at least 5 years specifically in AI/ML architecture.
- Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, and C++. Familiarity with distributed computing systems (Kubernetes, AWS, Azure).
- AI Specialization: Proven track record of designing and deploying LLMs or Generative AI models.
- Problem Solving: Exceptional ability to solve complex, unstructured problems in high-pressure environments.
- Leadership: Demonstrated success in leading cross-functional teams and driving technical initiatives from conception to completion.
- Communication: Excellent verbal and written communication skills, capable of articulating complex technical concepts to non-technical stakeholders.