Job Description
Are you ready to architect the future of technology?
Nexus Horizon is seeking a visionary Senior AI Architect to lead our 2026 roadmap. In this pivotal role, you won't just be maintaining systems; you will be building the infrastructure that defines the next generation of intelligent applications. We are looking for a pioneer who thrives in ambiguity and possesses the technical prowess to turn futuristic concepts into scalable reality.
Join a team that is reshaping the boundaries of Generative AI, Quantum Computing interfaces, and Ethical Automation. If you are passionate about solving complex problems and shaping the digital landscape of 2026, we want to hear from you.
Responsibilities
- Architect Next-Gen AI Systems: Design and implement scalable, secure, and high-performance AI infrastructure capable of supporting enterprise-grade applications in a 2026 environment.
- Lead R&D Initiatives: Spearhead research into cutting-edge machine learning models, focusing on Generative AI and Large Language Models (LLMs) to stay ahead of industry trends.
- Strategic Roadmapping: Translate business goals into technical roadmaps, ensuring our technology stack aligns with our vision for the future.
- Model Optimization: Continuously monitor, evaluate, and optimize model performance, accuracy, and latency to ensure a seamless user experience.
- Cross-Functional Collaboration: Work closely with product managers, data scientists, and software engineers to integrate AI capabilities into core products seamlessly.
- Ethical AI Governance: Establish and enforce guidelines for responsible AI usage, ensuring fairness, transparency, and bias mitigation in all models.
- Technical Mentorship: Mentor junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
Qualifications
- Education: Master’s degree in Computer Science, Artificial Intelligence, or a related field (PhD preferred).
- Experience: 8+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture and development.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and cloud platforms (AWS, GCP, or Azure).
- System Design: Strong background in distributed systems, microservices, and high-availability architecture.
- Problem Solving: Demonstrated ability to tackle complex, unstructured problems and deliver robust technical solutions.
- Communication: Exceptional verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
- Innovation: Deep interest in emerging technologies, including Quantum AI and Neuromorphic computing.