Job Description
Are you ready to define the technological landscape of 2026? Nexus Horizon Systems is seeking a visionary Lead AI Architect to spearhead our next-generation intelligence initiatives.
In this pivotal role, you will not just build systems; you will architect the future. We are looking for a thought leader who can translate complex futuristic concepts into scalable, production-ready AI infrastructure. You will be responsible for setting the strategic roadmap that positions us as a market leader in the era of AGI and autonomous systems.
Join us in building the technology that will power the world a decade from now.
Responsibilities
- Define the 2026 Roadmap: Create and execute the long-term artificial intelligence and machine learning strategy, aligning technical goals with business objectives for the next decade.
- Architect Innovation: Lead the design of complex AI systems, focusing on Generative AI, Large Language Models, and predictive analytics platforms.
- Team Leadership: Mentor and grow a world-class team of data scientists, ML engineers, and AI researchers.
- System Integration: Oversee the seamless integration of AI models into existing enterprise workflows and cloud ecosystems (AWS/Azure).
- Performance Optimization: Ensure system scalability, latency reduction, and high availability for production-grade AI applications.
- Ethical AI Governance: Establish frameworks for ethical AI, bias mitigation, and responsible data usage.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 10+ years of experience in software engineering, machine learning architecture, and AI research.
- Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks.
- Cloud Mastery: Proven experience architecting solutions on major cloud platforms with a focus on MLOps.
- Leadership: Demonstrated ability to lead cross-functional teams and manage high-stakes technical projects.
- Communication: Exceptional ability to articulate complex technical concepts to non-technical stakeholders and executive leadership.