Job Description
Are you ready to architect the future? FutureScale Technologies is looking for a visionary Senior AI Architect to define our technology roadmap for the year 2026 and beyond. Join us in building the intelligent infrastructure that will power the next generation of global commerce.
In this pivotal role, you will bridge the gap between theoretical research and practical application. We are not just looking for developers; we are looking for strategic leaders who can foresee technological shifts and engineer solutions that stand the test of time. You will lead a team of elite engineers in deploying cutting-edge neural networks and generative AI models.
If you are passionate about the intersection of ethics, scalability, and artificial intelligence, this is your opportunity to shape the industry.
Responsibilities
- Strategic Planning: Lead the definition and execution of the company's AI strategy for 2026, identifying emerging technologies and integrating them into our core infrastructure.
- System Architecture: Design and oversee the development of scalable, high-performance machine learning systems and data pipelines.
- Model Development: Spearhead the research and implementation of state-of-the-art deep learning models, focusing on Natural Language Processing and Computer Vision.
- Team Leadership: Mentor a high-performing engineering team, fostering a culture of innovation, technical excellence, and continuous learning.
- Collaboration: Partner with product managers and stakeholders to translate complex technical requirements into robust, user-centric solutions.
- R&D: Maintain a pulse on the global AI landscape to ensure our proprietary algorithms remain at the forefront of the market.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, Mathematics, or a related technical field.
- Experience: 8+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture and leadership.
- Tech Stack: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Apache Spark).
- Leadership: Proven track record of managing large-scale engineering teams and leading cross-functional projects.
- Innovation: Strong understanding of Generative AI, Large Language Models (LLMs), and ethical AI practices.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.