Job Description
Are you ready to shape the technological landscape of the future? Nexus Horizon Systems is seeking a visionary Lead Strategic AI Architect to drive our roadmap through to the year 2026. We are not just building software; we are architecting the intelligent systems that will define the next decade of human-machine collaboration.
In this pivotal role, you will be at the forefront of innovation, bridging the gap between emerging AI capabilities and enterprise-grade infrastructure. You will set the technical direction for our flagship products, ensuring we are prepared to scale and lead the market as we approach the pivotal year of 2026.
What You Will Do:
- Lead the strategic definition of our technical architecture for the 2026 roadmap.
- Design scalable, fault-tolerant distributed systems capable of handling exponential AI workloads.
- Oversee the integration of Generative AI and Agentic workflows into core business processes.
- Collaborate with cross-functional leaders to translate futuristic concepts into executable technical strategies.
- Establish best practices for security, privacy, and compliance in next-gen AI environments.
Who You Are:
- A seasoned technical leader with 10+ years of experience in systems architecture and AI infrastructure.
- An expert in cloud-native technologies (AWS, GCP, Azure) and container orchestration (Kubernetes).
- A strategic thinker who can anticipate industry shifts and position the company for success in 2026.
- A strong communicator capable of influencing stakeholders at all levels.
Responsibilities
- Define and execute the comprehensive technical roadmap leading up to 2026, identifying key breakthrough technologies.
- Architect high-performance systems that leverage the latest advancements in Machine Learning and Neural Networks.
- Lead a team of senior engineers and data scientists in developing autonomous AI agents.
- Ensure architectural resilience, high availability, and data security across all new deployments.
- Drive innovation in edge computing and spatial interfaces as we prepare for the metaverse era.
- Conduct technical due diligence for acquisitions and partnerships aimed at accelerating our 2026 goals.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Extensive experience with Python, Rust, or Go, and familiarity with modern AI frameworks (TensorFlow, PyTorch).
- Deep understanding of microservices architecture, event-driven systems, and serverless computing.
- Proven experience managing large-scale cloud infrastructure budgets and resource allocation.
- Strong background in ethical AI and responsible data governance practices.
- Demonstrated ability to mentor teams and foster a culture of innovation and technical excellence.