Job Description
Are you ready to define the trajectory of Artificial Intelligence?
Nexus Future Systems is pioneering the HORIZON 2026 initiative—a cutting-edge research and development division dedicated to building the autonomous, self-evolving AI systems of tomorrow. We are looking for a visionary Senior AI Architect to lead the engineering of scalable, ethical, and high-performance machine learning infrastructures.
In this pivotal role, you won't just be writing code; you will architect the cognitive backbone of our future products. If you are passionate about the intersection of deep learning, distributed systems, and ethical AI governance, we want to meet you.
Why Join Us?
- Work on the bleeding edge of technology set to redefine the industry in 2026 and beyond.
- Competitive equity package and top-tier compensation ($180k - $260k).
- Flexible remote-first culture with quarterly global innovation summits.
Responsibilities
- Lead Architectural Design: Design and implement scalable, fault-tolerant AI infrastructure capable of processing petabytes of real-time data for the 2026 roadmap.
- R&D Leadership: Spearhead research into next-generation neural architectures, specifically focusing on predictive modeling and natural language generation.
- System Integration: Oversee the seamless integration of AI models with legacy systems and cloud ecosystems, ensuring minimal latency and maximum throughput.
- Ethical AI Governance: Establish and enforce best practices for AI bias mitigation, transparency, and safety protocols within the development lifecycle.
- Team Mentorship: Guide a team of senior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
- Strategic Roadmapping: Collaborate with product leaders to define technical roadmaps that align with the company's 5-year vision for autonomous intelligence.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Machine Learning, or a related quantitative field (or equivalent practical experience).
- Technical Proficiency: Extensive experience with deep learning frameworks (PyTorch, TensorFlow, JAX) and high-performance computing environments.
- System Design: Strong background in distributed systems, microservices architecture, and cloud platforms (AWS, GCP, or Azure).
- Programming: Expert-level proficiency in Python, C++, and SQL; experience with GPU optimization is highly preferred.
- Leadership: Proven track record of leading cross-functional teams and managing complex technical projects from conception to deployment.
- Innovation: Demonstrated ability to think critically about future trends and apply them to solve current architectural challenges.