Job Description
Are you ready to shape the future of technology?
Nexus Horizon Technologies is looking for a visionary Senior AI Architect to lead our roadmap into the year 2026 and beyond. We are building the infrastructure for tomorrow's intelligence, and we need a technical leader who can bridge the gap between current machine learning capabilities and future-proof scalability.
In this pivotal role, you will define the architectural strategy for our next-generation neural networks and quantum-assisted computing systems. You will work with a world-class team to deploy AI solutions that are not only efficient today but scalable for the decade ahead.
Why Join Us?
- Work on cutting-edge projects that define the future of tech.
- Competitive compensation package and equity options.
- Flexible remote-first culture with a focus on innovation.
We are seeking a forward-thinking professional to drive our technical excellence. If you are passionate about the future of AI, we want to hear from you.
Responsibilities
- Architect the Future: Design and implement scalable AI infrastructure specifically aligned with the 2026 roadmap and emerging tech trends.
- Technical Leadership: Lead architectural decisions for large-scale machine learning models and data pipelines.
- Innovation Implementation: Collaborate with R&D to integrate next-gen algorithms and quantum computing concepts into production.
- Team Mentorship: Mentor junior engineers and foster a culture of continuous learning and technical excellence.
- System Optimization: Drive performance improvements and cost-efficiency in our cloud-based AI deployments.
- Security & Compliance: Ensure all AI systems adhere to strict security protocols and ethical AI standards.
- Stakeholder Communication: Translate complex technical concepts into clear strategies for non-technical stakeholders.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 10+ years of experience in software architecture and AI/ML engineering, with at least 3 years in a leadership role.
- Core Skills: Deep expertise in Python, TensorFlow, PyTorch, and cloud platforms (AWS/GCP/Azure).
- Strategic Thinking: Proven track record of leading engineering teams through complex, long-term technical transitions.
- Domain Knowledge: Strong understanding of predictive analytics, natural language processing, and algorithm optimization.
- Soft Skills: Exceptional communication skills and the ability to thrive in a fast-paced, high-growth startup environment.
- Certifications: Professional certifications in AI/ML or Cloud Architecture are a plus.