Job Description
We are seeking a visionary Senior AI Architect to lead our engineering team into the technological landscape of 2026. At Aether Dynamics, we are building the infrastructure for the next generation of intelligent systems. This is not just a job; it is an opportunity to define the roadmap for how artificial intelligence integrates with enterprise solutions in the coming years.
In this pivotal role, you will design scalable, robust, and ethical AI architectures that anticipate market needs five years down the line. You will work at the intersection of data science, software engineering, and product strategy to deliver solutions that are not only cutting-edge today but remain relevant and powerful through 2026 and beyond.
Why You'll Thrive Here:
- Impactful Work: Architect systems that directly influence billions of data points and user interactions.
- Forward-Thinking Culture: We value innovation and give you the autonomy to experiment with emerging technologies.
- Top-Tier Compensation: Competitive base salary, performance bonuses, and equity packages.
Responsibilities
- Lead the architectural design and implementation of complex machine learning pipelines and generative AI models targeting 2026 standards.
- Collaborate with cross-functional teams (product, data, engineering) to translate strategic business goals into technical AI roadmaps.
- Ensure the scalability, security, and performance of AI infrastructure in cloud environments (AWS/Azure/GCP).
- Mentor junior engineers and senior staff, fostering a culture of technical excellence and continuous learning.
- Drive the adoption of MLOps best practices to streamline model deployment and monitoring.
- Research and evaluate new technologies, frameworks, and algorithms to stay ahead of industry trends.
- Define data governance policies to ensure compliance and ethical AI usage.
Qualifications
- Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- Minimum of 7 years of experience in software engineering and machine learning, with at least 3 years in a lead or architectural capacity.
- Expert proficiency in Python, TensorFlow, PyTorch, and Java/Go.
- Deep experience with distributed systems, microservices architecture, and containerization (Docker, Kubernetes).
- Proven track record of deploying large-scale AI solutions in production environments.
- Strong understanding of neural networks, NLP, and computer vision.
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.