Job Description
Shape the Future of Intelligence in 2026
Are you ready to architect the systems that will define the next era of technology? OmniFuture Systems is at the forefront of the 2026 technological revolution. We are building the next generation of autonomous, scalable, and ethical AI infrastructures. We are seeking a visionary Senior AI Architect to lead our R&D division, designing the neural frameworks and predictive models that will power global enterprise solutions.
In this pivotal role, you won't just maintain legacy systems; you will engineer the core architecture for our 2026 roadmap. You will bridge the gap between theoretical machine learning and production-grade deployment, ensuring our AI solutions are robust, scalable, and future-proof.
Why Join Us?
- Next-Gen Technology: Work on cutting-edge Generative AI and Agentic workflows.
- Impactful Work: Your code will directly influence how industries evolve.
- Elite Team: Collaborate with PhD-level researchers and industry veterans.
Responsibilities
- Lead Architectural Design: Define and implement the high-level architecture for our AI/ML platforms, focusing on scalability and 2026-ready tech stacks.
- Neural Network Optimization: Design and optimize complex neural networks to improve inference speed and model accuracy.
- Strategic R&D: Identify emerging AI trends (e.g., Quantum AI, Large Action Models) and prototype viable solutions for the roadmap.
- Cloud Infrastructure: Architect containerized, serverless solutions on AWS/Azure/GCP to support high-traffic deployment.
- Team Leadership: Mentor junior architects and data scientists, fostering a culture of innovation and technical excellence.
- Model Governance: Establish best practices for model monitoring, bias detection, and ethical AI deployment.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field.
- Experience: 7+ years of experience in software engineering and 5+ years specifically in Machine Learning/AI architecture.
- Technical Stack: Deep proficiency in Python, PyTorch, TensorFlow, and experience with MLOps tools (Kubeflow, MLflow).
- Cloud Mastery: Proven track record of deploying scalable systems on major cloud providers.
- Problem Solving: Demonstrated ability to solve complex, ambiguous problems with innovative technical solutions.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.