Job Description
We are looking for a visionary Lead AI Architect to spearhead the 2026 Initiative at Nexus Core Systems. As we prepare to redefine the boundaries of artificial intelligence, we need a technical leader who can bridge the gap between theoretical research and scalable production systems.
In this role, you will architect the core neural frameworks that will power our next generation of products. You will work alongside a team of elite engineers and researchers to build the infrastructure that defines the future of tech in 2026 and beyond. If you are passionate about pushing the limits of machine learning and want to leave a legacy, this is your opportunity.
Why Join Us?
- Work on cutting-edge AI models that impact millions.
- Competitive equity package and performance bonuses.
- Flexible remote-first culture with premium healthcare.
- Opportunity to mentor the next generation of AI talent.
Responsibilities
- Architectural Leadership: Design and implement the high-level architecture for the 2026 AI roadmap, ensuring scalability, security, and performance.
- Research Integration: Translate theoretical research papers into deployable, production-grade machine learning models and microservices.
- Team Mentorship: Guide a team of senior engineers and data scientists, conducting code reviews and technical architecture planning.
- Optimization: Continuously optimize model inference latency and training throughput to meet enterprise-grade standards.
- Cross-functional Collaboration: Partner with product managers and engineering leads to align technical roadmaps with business objectives.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 8+ years of experience in software engineering, with at least 5 years specifically focused on AI/ML architecture.
- Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Docker).
- Problem Solving: Proven track record of solving complex engineering challenges in large-scale systems.
- Communication: Excellent ability to communicate complex technical concepts to non-technical stakeholders.