Job Description
The Future of Intelligence Starts Here. Nexus Horizon Solutions is at the forefront of the 2026 technology revolution. We are seeking a visionary Senior AI & Future-Ready Architect to lead our initiative in deploying next-generation generative AI systems and autonomous agents.
In this role, you won't just maintain legacy code; you will architect the foundational infrastructure for the next decade. You will bridge the gap between theoretical AI advancements and scalable, production-ready engineering solutions. If you are passionate about the trajectory of technology leading into 2026 and beyond, this is your opportunity to shape the landscape.
Why Join Us?
- Work on high-impact projects that define the standard for 2026 AI capabilities.
- Competitive compensation and equity packages.
- Flexible remote-first culture with a hub in the heart of San Francisco.
- Access to state-of-the-art hardware and research resources.
Responsibilities
- Architect Scalable AI Systems: Design and implement robust machine learning pipelines and neural network architectures capable of handling petabyte-scale data streams.
- Lead Strategic Vision: Define the technical roadmap for AI integration, specifically focusing on ethical AI, generative models, and autonomous decision-making systems.
- Collaborate with Cross-Functional Teams: Partner with product managers, data scientists, and software engineers to translate complex business requirements into technical specifications.
- Optimize Performance: Continuously refine model accuracy and latency, ensuring our AI solutions are faster and more efficient than current market standards.
- Mentorship: Guide junior engineers and data scientists, fostering a culture of continuous learning and innovation within the technical team.
- Security & Compliance: Implement rigorous security protocols to ensure data privacy and regulatory compliance (GDPR/CCPA) in all AI deployments.
Qualifications
- Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Mathematics, or a related technical field.
- Experience: 5+ years of experience in software engineering, with at least 3 years specifically focused on Machine Learning or Deep Learning.
- Technical Stack: Proficiency in Python, TensorFlow, PyTorch, and cloud platforms (AWS/GCP/Azure).
- Architecture: Strong understanding of system design principles, microservices, and distributed systems.
- Leadership: Demonstrated ability to lead technical teams and drive projects from conception to deployment.
- Problem Solving: Exceptional analytical skills with a track record of solving complex algorithmic challenges.