Job Description
Are you ready to architect the future of intelligent systems? OmniTech Dynamics is looking for a visionary Project 2026 AI Architect to lead our next-generation research initiatives. In this high-impact role, you will define the architectural roadmap for our flagship projects, bridging the gap between theoretical AI breakthroughs and scalable, real-world applications.
We are seeking a pioneer who thrives in ambiguity and is driven by the challenge of solving complex problems before they arise. If you are passionate about the trajectory of Artificial Intelligence and want to leave a lasting legacy in the tech industry, we want to hear from you.
Responsibilities
- Define and lead the architectural strategy for Project 2026, ensuring alignment with long-term business goals.
- Design and implement cutting-edge machine learning models and neural network architectures.
- Conduct high-level research and experimentation with emerging technologies, including Generative AI and Autonomous Systems.
- Collaborate with cross-functional teams of engineers, data scientists, and product managers to translate research into production-ready solutions.
- Establish best practices for code quality, testing, and deployment in high-performance environments.
- Mentor and guide junior engineers, fostering a culture of innovation and technical excellence.
Qualifications
- PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
- Minimum of 5+ years of professional experience in AI/ML engineering, with a focus on research or architecture.
- Deep expertise in Python, PyTorch, TensorFlow, and major deep learning frameworks.
- Strong background in Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Proven track record of publishing research papers or delivering innovative technical solutions.
- Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.