Job Description
Join the Vanguard of the Future.
Aether Systems is seeking a visionary Senior AI Architect (Future Tech) to lead our cutting-edge initiatives aimed at defining the technological landscape of 2026 and beyond. In this pivotal role, you will bridge the gap between theoretical AI research and scalable, production-grade engineering, ensuring our platforms remain at the forefront of innovation.
We are not just building software; we are architecting the future. If you are passionate about machine learning, generative AI, and solving complex problems that have no current solution, we want to hear from you.
Why Join Us?
- Impactful Work: Directly influence the roadmap for the next generation of AI infrastructure.
- Innovation First: Access to bleeding-edge technology stacks and research.
- Competitive Compensation: Top-tier salary and equity packages.
Responsibilities
- Architectural Leadership: Design and implement scalable, secure, and high-performance AI systems and microservices architecture.
- Strategic Vision: Define the technical roadmap for the 2026 product suite, aligning AI capabilities with business objectives.
- Model Optimization: Oversee the lifecycle of machine learning models, from research and development to deployment and monitoring.
- Cross-Functional Collaboration: Partner with product managers, data scientists, and engineers to translate complex requirements into robust technical solutions.
- Talent Development: Mentor junior engineers and foster a culture of technical excellence and continuous learning.
- Compliance & Ethics: Ensure all AI implementations adhere to ethical guidelines, data privacy regulations (GDPR/CCPA), and industry best practices.
Qualifications
- Education: Bachelor’s degree in Computer Science, Mathematics, or a related field; Master’s degree preferred.
- Experience: 7+ years of experience in software engineering with a focus on AI/ML systems architecture.
- Technical Stack: Proficiency in Python, TensorFlow, PyTorch, or similar ML frameworks; deep understanding of distributed systems and cloud architecture (AWS, GCP, or Azure).
- Problem Solving: Proven track record of architecting complex systems that handle high concurrency and large data volumes.
- Leadership: Demonstrated ability to lead technical projects and mentor teams effectively.
- Communication: Exceptional verbal and written communication skills; ability to articulate complex technical concepts to non-technical stakeholders.