Job Description
Are you ready to define the technological landscape of the future? Nexus Horizon Systems is seeking a visionary Future-Ready AI Architect to lead our initiatives for the 2026 roadmap. In this pivotal role, you will bridge the gap between cutting-edge generative AI and scalable infrastructure, ensuring our solutions are prepared for the quantum and edge computing era.
We are not just building software for today; we are architecting the systems that will define the next decade. If you have a passion for pushing the boundaries of what is possible in 2026 and beyond, we want to hear from you.
Responsibilities
- Architect Next-Gen Systems: Design and implement scalable AI infrastructure ready for the 2026 technological landscape, including quantum-ready algorithms and edge computing solutions.
- Lead R&D Initiatives: Spearhead research into Large Language Models (LLMs) and multimodal AI to drive innovation in our core product suite.
- Strategic Roadmapping: Define the technical vision for 2026, collaborating with stakeholders to translate business goals into robust engineering roadmaps.
- Model Optimization: Oversee the fine-tuning and deployment of proprietary models, ensuring high performance, low latency, and maximum efficiency.
- Team Mentorship: Cultivate a culture of technical excellence by mentoring senior engineers and fostering a collaborative, forward-thinking environment.
- Security & Compliance: Ensure all AI implementations adhere to strict data privacy standards and ethical AI guidelines, particularly as regulations evolve.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related field.
- Experience: 7+ years of experience in software engineering with a strong focus on Machine Learning and Deep Learning architectures.
- Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, and modern Cloud platforms (AWS, GCP, or Azure).
- AI Specialization: Proven track record of working with Generative AI, LLMs, and NLP technologies.
- System Design: Strong understanding of distributed systems, microservices, and high-availability architecture.
- Innovation Mindset: Demonstrated ability to identify emerging trends (e.g., Quantum Computing, Neuromorphic Engineering) and apply them to practical business problems.