Job Description
We are building the infrastructure for the year 2026. As a Senior AI Architect at FutureScale, you will lead the charge in defining the next generation of autonomous AI systems. You won't just be maintaining existing models; you will architect the core neural architectures that power our predictive intelligence platforms. If you are passionate about the intersection of deep learning, generative AI, and scalable cloud infrastructure, this is your opportunity to shape the future of technology.
Key Highlights:
- Work on cutting-edge Autonomous Agent Frameworks.
- Lead the integration of Generative AI into complex enterprise ecosystems.
- Collaborate with a world-class team of researchers and engineers.
Join us in revolutionizing how humans interact with intelligent machines.
Responsibilities
- Design and implement scalable deep learning infrastructure capable of handling petabyte-scale data streams.
- Lead the research and deployment of multimodal Large Language Models (LLMs) tailored for enterprise applications.
- Establish architectural standards for AI safety, ethical reasoning, and bias mitigation in automated systems.
- Optimize model inference latency and throughput to ensure real-time user experiences.
- Mentor junior engineers and data scientists on advanced ML techniques and best practices.
- Collaborate with product teams to translate 2026 strategic roadmaps into technical specifications.
- Conduct rigorous performance testing and model validation across diverse datasets.
Qualifications
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
- 8+ years of experience in machine learning engineering, with at least 3 years in a senior or lead architectural role.
- Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
- Deep understanding of distributed computing, cloud platforms (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
- Proven track record of deploying production-grade AI models in high-traffic environments.
- Strong grasp of natural language processing (NLP) and computer vision principles.
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.