Job Description
Are you ready to define the technological landscape of 2026? FutureScale Technologies is seeking a visionary Lead AI Architect to spearhead our next-generation intelligence division. In this role, you will not only engineer scalable AI solutions but also architect the strategic frameworks that will define our presence in the future.
We are looking for a leader who thrives on ambiguity and is passionate about pushing the boundaries of what is possible. If you want to build the infrastructure that powers the world of tomorrow, this is your opportunity.
Responsibilities
- Strategic Vision: Define the comprehensive AI architectural roadmap, ensuring alignment with our 2026 strategic goals and long-term innovation targets.
- Team Leadership: Mentor and lead a world-class team of machine learning engineers, data scientists, and researchers.
- System Design: Design and oversee the deployment of robust, fault-tolerant distributed systems and large-scale machine learning models.
- R&D Oversight: Stay at the forefront of AI advancements, evaluating and integrating cutting-edge technologies (LLMs, Generative AI, Edge AI) into our core products.
- Cross-Functional Collaboration: Partner with product managers, designers, and stakeholders to translate futuristic concepts into actionable technical roadmaps.
- Compliance & Ethics: Establish governance frameworks to ensure AI safety, fairness, and adherence to evolving industry regulations.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, Statistics, or a related technical field.
- Experience: Minimum of 8+ years in software engineering, with at least 5 years specifically in AI/ML architecture and leadership.
- Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, and Hugging Face ecosystems.
- Infrastructure: Proven experience designing systems on AWS, GCP, or Azure with a strong focus on MLOps and CI/CD pipelines.
- Leadership: Demonstrated ability to lead diverse teams, manage technical debt, and drive projects from conception to production.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and executive leadership.