Job Description
Are you ready to architect the future? Apex Future Technologies is seeking a visionary Senior AI Architect to lead our research and development initiatives aimed at the 2026 technological horizon. We are building the foundational systems that will define the next generation of intelligent automation, and we need a leader who is as comfortable with abstract theory as they are with scalable code.
In this role, you will bridge the gap between theoretical AI research and production-grade engineering, ensuring our roadmap delivers breakthrough capabilities by 2026. If you are passionate about the future of AGI and want to work in a high-impact environment, we want to hear from you.
Responsibilities
- Lead R&D Strategy: Define and execute the technical roadmap for 2026 AI capabilities, focusing on Large Language Models and autonomous agent systems.
- Model Architecture: Design and optimize complex neural network architectures for efficiency, scalability, and accuracy in real-world applications.
- Prototype Development: Build and iterate on Proof-of-Concept (PoC) systems that push the boundaries of current machine learning techniques.
- Cross-Functional Collaboration: Partner with product managers, engineers, and data scientists to translate business goals into technical AI solutions.
- Code Quality & Mentorship: Establish best practices for AI engineering, conduct code reviews, and mentor junior engineers to foster a culture of innovation.
- System Integration: Integrate advanced AI models into our existing cloud infrastructure, ensuring robust security and performance.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Experience: 5+ years of professional experience in AI/ML engineering, with at least 2 years in a senior or lead architecture role.
- Technical Skills: Deep proficiency in Python, PyTorch, or TensorFlow; experience with distributed computing frameworks (e.g., Apache Spark, Kubernetes).
- Research Background: Strong understanding of current SOTA (State of the Art) models and the ability to read and implement cutting-edge research papers.
- Problem Solving: Exceptional ability to troubleshoot complex technical challenges and optimize model inference times.
- Communication: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.