Job Description
We are at the precipice of a new era in technology. As we look toward the innovations of 2026, OmniFuture Systems is seeking a visionary Senior AI Architect to lead our next-generation initiatives. If you are passionate about the intersection of artificial intelligence, neural networks, and scalable infrastructure, this is your opportunity to build the future.
In this role, you will not just implement existing solutions; you will architect the foundational frameworks that will power the next decade of digital transformation. You will work in a high-performance environment where your code impacts millions and your decisions set the roadmap for our AI evolution.
Responsibilities
- Architect Advanced AI Systems: Design and deploy scalable machine learning models and neural network architectures optimized for high-volume data processing and low-latency inference.
- Pioneering Research Implementation: Translate cutting-edge academic research into production-ready code, specifically focusing on Generative AI and Large Language Models (LLMs) for the 2026 landscape.
- Infrastructure Optimization: Oversee the integration of AI workloads into cloud-native environments, ensuring cost-efficiency and robust security protocols.
- Team Leadership & Mentorship: Guide a team of junior engineers and data scientists, fostering a culture of innovation, technical excellence, and continuous learning.
- Strategic Roadmapping: Collaborate with C-level executives to define long-term AI strategies and ensure alignment with business objectives.
- Performance Tuning: Continuously monitor and optimize model performance, accuracy, and latency to meet enterprise-grade standards.
Qualifications
- Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: Minimum of 8+ years of experience in software engineering, with at least 4 years specifically focused on AI/ML architecture and deployment.
- Technical Proficiency: Deep expertise in Python, TensorFlow, PyTorch, or JAX. Experience with MLOps tools (Docker, Kubernetes, MLflow) is essential.
- Strategic Mindset: Proven track record of leading complex technical projects from conception to delivery in a fast-paced startup or tech environment.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and leadership.
- Problem Solving: Demonstrated ability to troubleshoot complex system bottlenecks and devise innovative engineering solutions.