Job Description
We are building the operating system for the year 2026. FutureScale AI is looking for a visionary Principal AI Architect to lead the development of next-generation autonomous agents and generative frameworks. You will be at the forefront of defining the future of work, creating intelligent systems that redefine human-machine collaboration.
Why Join Us?
- Impactful Role: Architect the AI infrastructure that will power industries in the coming years.
- Future-Proof: Work on cutting-edge technologies like Agentic AI and Predictive Modeling before they become mainstream.
- Competitive Package: Top-tier compensation and equity packages for industry leaders.
If you are ready to shape the AI landscape of 2026, apply today.
Responsibilities
- Design and architect scalable, secure, and high-performance AI systems for the 2026 era.
- Lead the research and implementation of Agentic AI frameworks and Large Language Model (LLM) integrations.
- Collaborate with cross-functional teams to translate business requirements into technical AI solutions.
- Establish best practices for MLOps, data governance, and model deployment in cloud environments.
- Mentor senior engineers and foster a culture of innovation and continuous learning.
- Stay ahead of industry trends to ensure our technology stack remains future-ready.
Qualifications
- 10+ years of experience in software engineering and machine learning architecture.
- Deep expertise in Python, PyTorch, TensorFlow, and modern MLOps tools.
- Proven track record of deploying large-scale AI models in production environments.
- Strong understanding of Generative AI, NLP, and Autonomous Agent architectures.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Kubernetes/Docker).
- Master’s degree in Computer Science, Artificial Intelligence, or a related technical field is preferred.