Job Description
We are at the precipice of a new technological era. Aetheria Systems is seeking a visionary Lead AI Architect (2026 Horizon) to spearhead the development of next-generation artificial general intelligence (AGI) frameworks.
In this pivotal role, you will define the architectural blueprints for systems that will define the 2026 landscape. You will bridge the gap between theoretical neural research and scalable, production-ready infrastructure. If you are driven by the challenge of building the future and possess an unparalleled mastery of machine learning, we want to hear from you.
Why join us?
We offer a competitive equity package, top-tier medical benefits, and the unique opportunity to work on projects that will shape human-computer interaction for the next decade.
Responsibilities
- Architect Next-Gen Models: Design and implement scalable, robust AI architectures designed to scale for the 2026 operational environment.
- Neural Optimization: Lead research initiatives to optimize neural network efficiency, reducing latency and increasing throughput in high-load environments.
- Strategic Roadmapping: Define the technical roadmap for our AGI trajectory, identifying key milestones and technological hurdles.
- Cross-Functional Leadership: Collaborate with quantum computing teams and hardware engineers to integrate AI models with next-gen processors.
- Code Governance: Establish and enforce high-standard coding practices and architectural guidelines across the engineering department.
- Prototyping: Rapidly prototype and validate novel algorithms for NLP, Computer Vision, and Reinforcement Learning.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 8+ years of experience in machine learning engineering, with at least 3 years in a lead architectural capacity.
- Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing systems (Kubernetes, Docker).
- Algorithm Mastery: Proven track record of developing novel algorithms for Large Language Models (LLMs) or multimodal systems.
- Future-Forward Mindset: Demonstrated ability to anticipate and adapt to emerging trends in AI, including generative adversarial networks and transformer architectures.
- Communication: Exceptional ability to translate complex technical concepts into actionable business strategies for stakeholders.