Job Description
We are not just building software for today; we are architecting the intelligent systems that will define the year 2026 and beyond. Nexus Horizon AI is seeking a visionary Senior AI Solutions Architect to lead the design and implementation of next-generation Generative AI and Autonomous Agent systems. If you are passionate about pushing the boundaries of Machine Learning, optimizing for extreme scalability, and leading a team of elite engineers, this is your opportunity to shape the future.
Why Join Us?
• Work on cutting-edge Agentic AI frameworks intended for global deployment.
• Competitive compensation package including equity and performance bonuses.
• Remote-first culture with flexible hours and access to top-tier hardware.
The Role:
You will bridge the gap between theoretical AI research and production-grade engineering. Your work will directly influence our roadmap for 2026, ensuring our platforms remain at the forefront of the AI revolution.
Responsibilities
- Architect Scalable AI Infrastructures: Design robust, fault-tolerant systems capable of handling petabyte-scale data processing for large language models (LLMs).
- Lead R&D Initiatives: Spearhead research into emerging AI paradigms for the 2026 timeframe, including Agentic workflows and multimodal learning.
- Model Optimization: Implement advanced quantization and pruning techniques to reduce inference latency and operational costs.
- Technical Leadership: Mentor a team of senior engineers and data scientists, fostering a culture of innovation and continuous learning.
- Strategic Roadmapping: Collaborate with product leaders to define technical strategies that align with long-term business goals.
- System Integration: Integrate AI models seamlessly into complex software ecosystems using microservices architecture.
Qualifications
- Education: Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field (PhD preferred).
- Experience: 7+ years of experience in software engineering, with at least 3 years specifically focused on AI/ML systems architecture.
- Technical Stack: Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks (e.g., Kubernetes, Docker).
- Algorithm Mastery: Strong understanding of Deep Learning architectures, Transformers, and Reinforcement Learning.
- Cloud Proficiency: Extensive experience with cloud platforms (AWS, GCP, or Azure) and their AI services.
- Soft Skills: Exceptional communication skills with the ability to translate complex technical concepts to non-technical stakeholders.