Job Description
The Opportunity:
We are looking for a visionary Senior AI Architect to spearhead the Project 2026 initiative. In this pivotal role, you will design and implement next-generation artificial intelligence systems that will define our infrastructure for the coming decade. You will work at the intersection of deep learning, generative AI, and scalable cloud architecture to solve complex problems that shape the future of technology.
Why Join Us?
At Nexus Horizon, we don't just predict the future; we engineer it. You will have the autonomy to experiment with cutting-edge technologies, mentor a team of elite engineers, and see your work deployed globally. If you are passionate about the trajectory of AI and want to be at the helm of the 2026 vision, we want to hear from you.
Responsibilities
- Architect Future-Proof Systems: Design robust, scalable AI frameworks and infrastructure that support the long-term goals of Project 2026, ensuring high availability and security.
- Lead Research & Development: Drive the technical strategy for our core AI models, focusing on advancements in Large Language Models (LLMs) and predictive analytics.
- Mentorship & Culture: Foster a culture of innovation by mentoring junior engineers and conducting technical workshops to upskill the team.
- Cross-Functional Collaboration: Partner with product managers, data scientists, and engineering leads to translate complex requirements into elegant technical solutions.
- Optimization & Efficiency: Continuously refine model performance and reduce inference costs to ensure our systems are commercially viable and efficient.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 8+ years of professional experience in software engineering, with at least 4 years specifically focused on AI/ML architecture.
- Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, and cloud platforms (AWS, GCP, or Azure).
- Domain Knowledge: Proven track record of deploying large-scale machine learning models in production environments.
- Problem Solving: Exceptional ability to break down ambiguous problems and derive scalable architectural patterns.
- Communication: Excellent verbal and written communication skills, capable of presenting complex technical concepts to non-technical stakeholders.