Job Description
Are you ready to architect the future? Nexus Horizon Labs is seeking a visionary Senior AI & Future Tech Architect to lead our 2026 roadmap initiatives. We are building the foundational technologies that will define the next decade of human-computer interaction.
In this role, you will bridge the gap between theoretical AI research and scalable production systems. You will be responsible for designing the architecture that powers our autonomous agents and next-gen neural interfaces. If you are passionate about pushing the boundaries of what is possible in 2026 and beyond, we want to hear from you.
Responsibilities
- Architect Design: Lead the design and implementation of scalable AI infrastructure and deep learning pipelines for enterprise applications.
- R&D Strategy: Define the technical roadmap for future technologies, including generative AI, predictive modeling, and autonomous systems.
- Team Leadership: Mentor a team of senior engineers and data scientists, fostering a culture of innovation and technical excellence.
- System Integration: Oversee the integration of AI models into core product ecosystems, ensuring high performance and low latency.
- Security & Ethics: Establish protocols for AI safety, data privacy, and ethical AI usage across all projects.
- Stakeholder Communication: Translate complex technical concepts into actionable insights for executive stakeholders and product managers.
Qualifications
- Experience: 10+ years of experience in software engineering, with at least 5 years specifically focused on AI/ML architecture.
- Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks.
- Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- Cloud Mastery: Proven experience designing systems on AWS, GCP, or Azure with a focus on serverless and microservices architecture.
- Leadership: Demonstrated ability to lead cross-functional teams and manage large-scale technical projects from conception to deployment.
- Problem Solving: Strong analytical skills with a track record of solving complex, ambiguous engineering challenges.