Job Description
Join the Architects of 2026
Nexus Horizon Systems is pioneering the digital infrastructure of tomorrow. We are seeking a visionary Future-Ready AI Architect to lead our strategic transformation initiatives. In this role, you will define the technical blueprint for our AI-driven ecosystems, ensuring our solutions are scalable, sustainable, and future-proof for the next decade.
We are looking for a thought leader who doesn't just adapt to change but drives it. If you have a passion for integrating cutting-edge generative AI with robust backend systems, this is your opportunity to shape the landscape of 2026 and beyond.
Responsibilities
- Design Future-Proof Architectures: Lead the end-to-end design of scalable, distributed systems capable of supporting next-generation AI workloads and autonomous agents.
- Strategic Roadmapping: Develop and communicate long-term technical strategies aligned with the company's 2026 vision and market demands.
- Cloud & Edge Integration: Oversee the deployment and optimization of cloud-native infrastructure (AWS/Azure) and edge computing solutions for low-latency AI processing.
- Security & Compliance: Implement rigorous zero-trust security protocols and ensure all architectural designs adhere to global data privacy regulations.
- Team Leadership: Mentor a team of senior engineers and data scientists, fostering a culture of innovation, code quality, and continuous learning.
- Performance Optimization: Analyze system bottlenecks and implement high-performance computing solutions to handle massive data throughput.
Qualifications
- Experience: 8+ years of experience in software architecture, with at least 3 years specifically focused on AI/ML infrastructure or Generative AI applications.
- Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
- Technical Proficiency: Deep expertise in Python, Java, or Go; strong knowledge of distributed systems, microservices, and containerization (Docker/Kubernetes).
- AI Knowledge: Hands-on experience with LLMs, RAG (Retrieval-Augmented Generation), and MLOps pipelines.
- Leadership: Proven track record of leading cross-functional teams and delivering complex projects on time.
- Soft Skills: Exceptional communication skills with the ability to translate complex technical concepts into business value.