Job Description
Are you ready to architect the future of technology?
Apex Neural Systems is pioneering the artificial intelligence solutions that will define the year 2026 and beyond. We are seeking a visionary Senior AI Architect (2026 Horizon) to lead our research and development in Generative AI, Large Language Models, and next-gen neural networks. If you are passionate about pushing the boundaries of what is possible in machine learning and want to build the infrastructure for tomorrow's intelligent applications, we want to hear from you.
Join a team of world-class engineers and researchers dedicated to solving humanity's most complex problems through the power of artificial intelligence. We offer competitive compensation, equity, and the opportunity to work on projects that will have a lasting impact on the world.
Responsibilities
- Architect Scalable AI Systems: Design and implement robust, scalable, and secure machine learning pipelines and infrastructure to support our 2026 product roadmap.
- Lead Research & Innovation: Spearhead research initiatives into cutting-edge AI technologies, including Transformer models, reinforcement learning, and multimodal systems.
- Technical Roadmap Strategy: Define and communicate the technical vision and architectural standards for the AI department, ensuring alignment with business goals.
- Model Optimization: Optimize existing models for speed, accuracy, and resource efficiency, deploying them to production environments using cloud-native architectures.
- Cross-Functional Collaboration: Partner with product managers, data scientists, and engineering teams to translate complex AI concepts into deployable, user-centric solutions.
- Mentorship: Mentor junior engineers and data scientists, fostering a culture of continuous learning and technical excellence within the team.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Experience: 5+ years of professional experience in software engineering and machine learning, with at least 2 years in a senior architectural or leadership role.
- Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and modern deep learning frameworks. Experience with cloud platforms (AWS, GCP, or Azure) is highly preferred.
- Domain Knowledge: Deep understanding of neural network architectures, NLP, Computer Vision, or Reinforcement Learning.
- Problem Solving: Proven ability to tackle complex technical challenges and deliver innovative solutions in a fast-paced, agile environment.
- Communication: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.