Job Description
The Future is Now. Nexus Horizon Solutions is pioneering the technological landscape for the year 2026 and beyond. We are seeking a visionary Senior AI Architect to design the core infrastructure of our next-generation generative AI platforms. In this role, you won't just build applications; you will architect the cognitive systems that will define the future of human-machine interaction.
As a leader in the 2026 niche, you will work in a fully remote-first environment with a team of elite engineers and futurists. If you are passionate about pushing the boundaries of what is possible with Large Language Models (LLMs) and scalable neural networks, we want to hear from you.
Why Join Us?
- Shape the roadmap for the year 2026.
- Competitive compensation package with equity options.
- Access to cutting-edge hardware for training models.
- Unlimited PTO and professional development stipends.
Responsibilities
- Architecting the Future: Design and implement scalable, high-performance AI architectures specifically tailored for 2026 enterprise needs, focusing on real-time generative capabilities.
- Model Strategy: Lead the selection and fine-tuning of proprietary and open-source foundation models (e.g., GPT-5, Claude 4 equivalents) to meet specific business objectives.
- System Integration: Oversee the integration of AI agents into legacy systems, ensuring seamless data flow and minimal latency.
- Ethical AI Oversight: Establish and enforce governance frameworks to ensure AI outputs are bias-free, transparent, and compliant with emerging regulations.
- Team Leadership: Mentor a team of junior data scientists and ML engineers, fostering a culture of innovation and continuous learning.
- Performance Optimization: Continuously monitor model inference times and optimize computational costs using distributed training and edge computing strategies.
- R&D Collaboration: Partner with the product team to translate complex technical concepts into intuitive, user-centric features.
Qualifications
- Experience: 7+ years of experience in software engineering, with at least 4 years specifically focused on AI/ML architecture.
- Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, and modern LLM frameworks.
- Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related quantitative field is highly preferred.
- Architecture Skills: Proven track record of designing distributed systems capable of handling petabyte-scale data.
- Communication: Exceptional ability to communicate complex technical strategies to non-technical stakeholders and executive leadership.
- Problem Solving: Demonstrated ability to troubleshoot complex, multi-layered architectural challenges.
- Language: Native fluency in English is required.