Job Description
Shape the Future of Intelligence in 2026
Epoch Horizon Solutions is at the forefront of the next industrial revolution. As we gear up for the massive technological shifts expected by 2026, we are seeking a visionary Senior AI Architect to lead our advanced research division. You will be responsible for designing the neural frameworks and quantum-ready algorithms that will define the digital landscape of the coming decade.
This is not just a job; it is an opportunity to architect the infrastructure of tomorrow. You will work with a world-class team to bridge the gap between theoretical machine learning and scalable, real-world deployment in edge environments.
Why Join Us?
- Work on cutting-edge projects that prepare the industry for 2026.
- Competitive compensation and equity package.
- Flexible remote and hybrid work options.
Key Objectives:
Our mission is to build self-evolving systems that solve complex global challenges. As an Architect, you will set the technical roadmap for our AI division, ensuring our solutions are robust, ethical, and future-proof.
Responsibilities
- Lead System Architecture: Design and oversee the implementation of complex AI systems, focusing on scalability, latency, and quantum integration.
- Research & Development: Pioneering new algorithms in deep learning and generative AI that push the boundaries of what is currently possible.
- Team Leadership: Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
- Strategic Planning: Define the technical vision for our 2026 roadmap, identifying emerging technologies and integrating them into our core stack.
- Model Optimization: Fine-tune large language models and neural networks for high-performance edge deployment.
- Cross-Functional Collaboration: Work closely with product managers and security experts to ensure AI solutions are safe, compliant, and user-centric.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
- Experience: Minimum of 8+ years of experience in software engineering and AI architecture.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with quantum computing libraries.
- Cloud Mastery: Deep expertise in AWS, Azure, or Google Cloud Platform for deploying large-scale AI models.
- Problem Solving: Demonstrated ability to solve complex, ambiguous problems with innovative technical solutions.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.
- Agile Experience: Proven track record in Agile/Scrum environments.