Job Description
Are you ready to architect the future? Nexus Horizon Systems is seeking a visionary Senior AI Architect to lead our cutting-edge research and development initiatives. As we prepare to redefine the technological landscape in 2026 and beyond, you will be at the forefront of deploying scalable, generative AI solutions that drive enterprise transformation.
In this role, you will bridge the gap between theoretical machine learning research and practical, high-impact engineering. We are looking for a technical leader who thrives in ambiguity and possesses the foresight to build systems that are ready for the next decade of innovation.
Why Join Us?
- Work on next-gen AI models and infrastructure.
- Competitive compensation and equity package.
- Flexible remote-first culture with premium office amenities.
- Opportunity to shape the roadmap for 2026.
Responsibilities
- Strategic Roadmap: Define and execute the technical vision for our AI infrastructure, specifically focusing on readiness for 2026 and beyond.
- System Design: Design scalable, fault-tolerant architectures for large-scale machine learning models and data pipelines.
- Research & Development: Collaborate with R&D teams to prototype novel algorithms and optimize existing models for performance and cost-efficiency.
- Team Leadership: Mentor a team of high-performing engineers and data scientists, fostering a culture of innovation and technical excellence.
- Integration: Oversee the integration of AI capabilities into existing product suites, ensuring seamless user experiences.
Qualifications
- Experience: 7+ years of professional experience in software engineering and machine learning, with at least 3 years in a senior or architect role.
- Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, or JAX. Strong understanding of distributed systems and cloud architecture (AWS/GCP).
- AI Expertise: Proven track record of deploying LLMs, Transformers, or other state-of-the-art generative models in production environments.
- Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- Soft Skills: Exceptional communication skills with the ability to translate complex technical concepts to non-technical stakeholders.