Job Description
Join Nexus Horizon Technologies, a pioneer in next-generation autonomous systems, as our Lead AI Architect. We are defining the roadmap for 2026 and beyond, focusing on ethical, scalable, and sentient-ready AI solutions. If you thrive on solving unsolved problems and shaping the future of human-computer interaction, this is your opportunity to lead from the front lines.
In this pivotal role, you will oversee the development of our proprietary Neural Core, ensuring our systems are not only intelligent but also adaptable to the rapidly evolving digital landscape of tomorrow.
Responsibilities
- Architectural Vision: Spearhead the design and implementation of large-scale machine learning infrastructure capable of handling petabyte-scale data streams in real-time.
- Model Optimization: Lead the research and deployment of cutting-edge Deep Learning models, specifically focusing on Transformer architectures and generative AI.
- Strategic Roadmapping: Define the technical roadmap for AI integration across all Nexus Horizon product lines, anticipating industry shifts up to 2026.
- Team Leadership: Mentor a world-class team of data scientists and ML engineers, fostering a culture of innovation and technical excellence.
- Ethical AI Governance: Ensure all AI models adhere to strict ethical guidelines, bias mitigation protocols, and regulatory compliance standards.
- Cross-Functional Collaboration: Partner with product managers and engineering leads to translate complex AI capabilities into user-centric features.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, Robotics, or a related quantitative field.
- Experience: 8+ years of experience in software engineering, with at least 5 years dedicated to advanced AI/ML research and production deployment.
- Technical Proficiency: Deep expertise in Python, C++, and PyTorch or TensorFlow. Proven track record of optimizing LLMs for specific industry verticals.
- Cloud Mastery: Extensive experience with cloud-native architectures (AWS, GCP, or Azure) and containerization technologies (Kubernetes, Docker).
- Innovation Mindset: Demonstrated ability to work in fast-paced, ambiguous environments and deliver breakthrough technologies under tight deadlines.
- Communication: Exceptional ability to articulate complex technical concepts to non-technical stakeholders and executive leadership.