Job Description
Shape the Future of Intelligence
We are looking for a visionary Lead AI Architect to spearhead our 2026 Vision Initiative. As we stand on the precipice of the next technological paradigm, your role will be pivotal in architecting scalable, secure, and cutting-edge Artificial Intelligence solutions that define the industry standards for the coming years.
Why Join Us?
Apex Horizon Systems is at the forefront of futuristic tech. We offer a competitive salary, equity packages, and the opportunity to work with a world-class team dedicated to solving humanity's most complex problems.
Key Responsibilities
- Architect and deploy advanced AI/ML models designed to power our 2026 roadmap and beyond.
- Lead a cross-functional team of data scientists, engineers, and product managers to drive innovation.
- Define technical strategies and best practices for Generative AI and Large Language Models (LLMs).
- Ensure the scalability, security, and performance of all cloud-based infrastructure.
- Collaborate with stakeholders to translate complex business requirements into technical architectures.
- Mentor senior engineers and foster a culture of continuous learning and technical excellence.
Qualifications
- Ph.D. or Master's degree in Computer Science, Mathematics, or a related technical field.
- 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
- Deep expertise in Python, PyTorch, TensorFlow, or similar ML frameworks.
- Proven track record of leading large-scale machine learning projects from conception to production.
- Strong understanding of NLP, Computer Vision, and Deep Learning architectures.
- Excellent leadership skills with the ability to influence and drive technical decisions.
Skills
Python, PyTorch, TensorFlow, Machine Learning, Deep Learning, NLP, Cloud Architecture, Kubernetes, Agile Methodologies
Apply today to help build the future of 2026.
Responsibilities
- Architect and deploy advanced AI/ML models designed to power our 2026 roadmap and beyond.
- Lead a cross-functional team of data scientists, engineers, and product managers to drive innovation.
- Define technical strategies and best practices for Generative AI and Large Language Models (LLMs).
- Ensure the scalability, security, and performance of all cloud-based infrastructure.
- Collaborate with stakeholders to translate complex business requirements into technical architectures.
- Mentor senior engineers and foster a culture of continuous learning and technical excellence.
Qualifications
- Ph.D. or Master's degree in Computer Science, Mathematics, or a related technical field.
- 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
- Deep expertise in Python, PyTorch, TensorFlow, or similar ML frameworks.
- Proven track record of leading large-scale machine learning projects from conception to production.
- Strong understanding of NLP, Computer Vision, and Deep Learning architectures.
- Excellent leadership skills with the ability to influence and drive technical decisions.