Job Description
We are looking for a visionary Senior AI Architect to define the technological roadmap for Year 2026. As the world shifts towards autonomous, generative intelligence, Nexus Horizon is building the core infrastructure that will power the next generation of digital experiences.
In this role, you will not just write code; you will architect the future. You will lead a team of elite engineers in deploying scalable, ethical, and high-performance AI models that seamlessly integrate into complex enterprise ecosystems.
Why join us?
We are backed by top-tier VC firms and are on a mission to solve humanity's hardest problems using advanced artificial intelligence. This is a high-impact role where your decisions will shape the trajectory of our company and the industry for the next decade.
What you will do:
Responsibilities
- Architect Next-Gen Systems: Design and implement robust, scalable AI infrastructure capable of handling petabyte-scale data processing and real-time inference.
- Lead R&D Initiatives: Spearhead research into emerging technologies such as Multimodal LLMs, Reinforcement Learning from Human Feedback (RLHF), and Edge AI deployment.
- Optimize Performance: Oversee the optimization of model architectures to reduce latency and energy consumption, ensuring our systems are not just smart, but sustainable.
- Define Governance: Establish ethical AI frameworks and governance protocols to ensure responsible deployment and mitigate algorithmic bias.
- Technical Mentorship: Guide a team of senior engineers and data scientists, fostering a culture of innovation and continuous learning.
- Cross-Functional Collaboration: Partner with product managers and designers to translate complex technical requirements into intuitive user experiences.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Mathematics, or a related field, with a focus on Artificial Intelligence.
- Experience: 7+ years of professional experience in software engineering and machine learning, with at least 3 years in a senior or lead architectural role.
- Technical Proficiency: Deep expertise in Python, C++, and TensorFlow/PyTorch. Hands-on experience with distributed computing frameworks (e.g., Apache Spark, Kubernetes).
- AI Specialization: Proven track record in Natural Language Processing (NLP), Computer Vision, or Generative AI model fine-tuning.
- Problem Solving: Exceptional ability to deconstruct complex problems and design elegant, scalable solutions.
- Soft Skills: Excellent communication skills with the ability to articulate technical concepts to non-technical stakeholders.