Job Description
The Future of Intelligence Starts Here.
FutureStream Systems is leading the charge in 2026-ready AI infrastructure. We are seeking a visionary Lead AI Architect to design the next generation of autonomous systems and generative intelligence platforms. If you are passionate about pushing the boundaries of what is possible in artificial general intelligence and large-scale neural networks, we want to meet you.
In this role, you will not just write code; you will define the architectural standards for the next decade of technology. You will work in a high-performance environment, collaborating with top-tier researchers and engineers to build scalable, secure, and efficient AI systems.
Why Join Us?
- Work on cutting-edge projects that define the future of technology.
- Competitive compensation package and equity opportunities.
- Remote-first culture with state-of-the-art equipment provided.
Responsibilities
- Architect Next-Gen AI Systems: Design and implement scalable, distributed AI architectures capable of handling petabyte-scale data processing.
- Model Optimization: Lead the optimization of Large Language Models (LLMs) and multimodal AI systems for reduced latency and increased inference accuracy.
- Research & Development: Stay at the forefront of AI trends, evaluating emerging technologies (e.g., Quantum AI, Neuromorphic Computing) and integrating them into our product roadmap.
- Technical Leadership: Mentor a team of senior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Infrastructure Scalability: Oversee the deployment of AI models in cloud-native environments (AWS/GCP/Azure) ensuring high availability and fault tolerance.
- Security & Compliance: Implement rigorous security protocols to protect proprietary data and ensure compliance with global AI regulations.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 8+ years of experience in software engineering, with at least 4 years specifically focused on Machine Learning and Deep Learning architecture.
- Technical Stack: Deep proficiency in Python, C++, and frameworks such as PyTorch, TensorFlow, or JAX.
- System Design: Proven track record of designing complex distributed systems and high-scale machine learning pipelines.
- Leadership: Experience leading cross-functional teams and managing technical roadmaps from conception to deployment.
- Problem Solving: Exceptional ability to troubleshoot complex algorithmic issues and optimize system bottlenecks.