Job Description
At OmniFuture Systems, we are not just building software; we are architecting the future. As we approach the pivotal year of 2026, we are seeking a visionary Senior AI Architect to lead our next-generation machine learning initiatives. This role requires a blend of deep technical expertise and strategic foresight to deploy AI solutions that redefine industry standards. You will be at the forefront of the generative AI revolution, ensuring our platforms are scalable, secure, and ahead of the curve. Join a team of industry leaders dedicated to solving humanity's most complex challenges through intelligent systems.
Responsibilities
- Architect and lead the development of scalable AI models and neural networks designed for the 2026 technological landscape.
- Define the long-term technical roadmap for AI integration, ensuring alignment with business objectives and futuristic trends.
- Mentor a team of talented engineers and data scientists, fostering a culture of innovation and technical excellence.
- Collaborate with product managers to translate complex AI capabilities into user-friendly applications.
- Optimize existing algorithms for performance, latency, and cost-efficiency in cloud environments.
- Ensure data privacy, security, and ethical AI compliance across all projects.
- Present technical strategies to executive leadership and key stakeholders.
Qualifications
- PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- Minimum of 8 years of professional experience in software engineering and machine learning architecture.
- Expert proficiency in Python, PyTorch, TensorFlow, and major cloud platforms (AWS, GCP, or Azure).
- Proven experience in designing and deploying Large Language Models (LLMs) and Generative AI systems.
- Strong understanding of distributed systems, microservices architecture, and containerization (Docker, Kubernetes).
- Excellent communication skills with the ability to explain complex technical concepts to non-technical audiences.
- Experience with MLOps pipelines and model deployment strategies.