Job Description
We are looking for a visionary Lead Future-Ready AI Architect to define the technological landscape of 2026 and beyond. In an era defined by rapid innovation and the dawn of the post-silicon era, your role will be critical in bridging the gap between theoretical foresight and practical engineering. You will spearhead the development of next-generation autonomous systems, ensuring our infrastructure is robust, scalable, and ready to handle the complexities of tomorrow.
As a key member of our elite R&D team, you will not just write code; you will shape the future. We are seeking someone who thrives on ambiguity and possesses the foresight to anticipate the next major leap in artificial intelligence and machine learning.
Responsibilities
- Architect Scalable Systems: Design and implement resilient, high-performance systems architecture capable of supporting the demands of generative AI and quantum-ready computing.
- Strategic Roadmapping: Lead the technical roadmap for AI integration, defining clear milestones and deliverables for the 2026 fiscal year and beyond.
- Model Optimization: Oversee the development and fine-tuning of large language models (LLMs) and neural networks for edge computing environments.
- Ethical AI Governance: Establish and enforce best practices for ethical AI, ensuring transparency, fairness, and safety in all automated decision-making processes.
- Technical Leadership: Mentor a team of senior engineers and data scientists, fostering a culture of innovation and continuous learning.
- Feasibility Studies: Conduct rigorous research and prototyping for emerging technologies to validate their viability for commercial deployment.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field with a focus on future tech.
- Experience: 10+ years of experience in full-stack software engineering, with at least 5 years in a senior leadership or architect role within the AI/ML space.
- Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and cloud-native architectures (AWS, GCP, Azure).
- Strategic Vision: Demonstrated ability to anticipate industry trends and translate them into actionable technical strategies.
- Problem Solving: Exceptional problem-solving skills with a focus on solving complex, open-ended engineering challenges.
- Communication: Excellent verbal and written communication skills, capable of presenting complex technical concepts to non-technical stakeholders.