Job Description
Welcome to the vanguard of innovation. Aether Dynamics is on a mission to redefine the technological landscape by architecting next-generation intelligence systems for the year 2026 and beyond. We are seeking a visionary Senior AI Solutions Architect to lead our strategic roadmap and build the infrastructure of the future.
In this role, you will bridge the gap between theoretical breakthroughs and scalable production environments. You will be instrumental in designing robust, fault-tolerant systems that integrate generative AI, quantum-ready algorithms, and edge computing. If you are passionate about pushing the boundaries of what is possible in 2026 and possess a mastery of large-scale systems, we want to hear from you.
Why join us?
- Future-Proof Technology: Work on cutting-edge tech stacks designed for the 2026 era.
- Global Impact: Your work will power solutions that affect millions globally.
- Competitive Compensation: A highly competitive salary and equity package.
Responsibilities
- Architect and design scalable AI infrastructure and microservices for the 2026 product roadmap.
- Lead the integration of Large Language Models (LLMs) and generative AI workflows into core business applications.
- Define technical standards, coding guidelines, and best practices for the engineering team.
- Collaborate with cross-functional teams (Product, Data Science, Engineering) to translate business requirements into technical solutions.
- Ensure system reliability, security, and performance under high load.
- Mentor junior architects and senior engineers, fostering a culture of continuous learning and innovation.
Qualifications
- 10+ years of experience in software engineering and system architecture, with at least 5 years in AI/ML infrastructure.
- Deep expertise in Python, C++, and modern cloud-native technologies (AWS, GCP, or Azure).
- Proven track record of designing fault-tolerant distributed systems.
- Experience with containerization (Docker, Kubernetes) and orchestration.
- Strong understanding of machine learning pipelines, MLOps, and data governance.
- Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.