Job Description
Are you ready to define the technological landscape of the future? Aetheris Innovations is seeking a visionary Senior AI Architect to spearhead Project 2026, our flagship initiative to revolutionize generative intelligence and autonomous systems.
In this pivotal role, you won't just implement existing solutions; you will architect the foundational infrastructure for the next generation of artificial intelligence. We are looking for a thought leader who thrives in ambiguity and possesses the technical prowess to turn ambitious concepts into scalable, production-ready realities. Join us in building the world of tomorrow, today.
Why join us?
• Competitive compensation and equity package.
• Remote-first culture with flexibility.
• Access to cutting-edge research and development resources.
• Opportunity to shape the roadmap for 2026 and beyond.
Responsibilities
- Architectural Leadership: Design and oversee the end-to-end technical architecture for Project 2026, ensuring scalability, security, and performance at a global scale.
- Strategy Development: Define the long-term AI strategy, aligning technical roadmaps with business objectives to drive innovation and competitive advantage.
- Model Optimization: Lead the optimization of deep learning models and neural networks, focusing on latency reduction and inference efficiency.
- Talent Mentorship: Build and mentor a high-performing team of data scientists and ML engineers, fostering a culture of continuous learning and technical excellence.
- Cross-Functional Collaboration: Partner with product managers, engineers, and stakeholders to translate complex requirements into robust technical solutions.
- R&D Integration: Stay at the forefront of AI research, integrating state-of-the-art advancements into our production systems.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field from a top-tier university.
- Experience: Minimum of 8+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture and deployment.
- Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, or JAX; experience with Large Language Models (LLMs) and Generative AI frameworks.
- Infrastructure: Strong background in cloud architecture (AWS, GCP, or Azure) and containerization technologies (Kubernetes, Docker).
- Problem Solving: Proven track record of solving complex, unstructured problems in high-stakes environments.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and executive leadership.