Job Description
We are seeking a visionary Lead AI Architect to join our elite team and drive the technical direction of Project 2026. As the industry shifts towards autonomous systems and advanced generative intelligence, we need a leader who can bridge the gap between theoretical research and production-grade scalability.
In this pivotal role, you will design the core neural architectures that will define our next-generation products. You will be responsible for ensuring our AI systems are not only robust and secure but also ethical and efficient.
What you will do:
- Design and implement scalable machine learning pipelines using Python, TensorFlow, and PyTorch.
- Lead the architectural strategy for Project 2026, ensuring high availability and low latency.
- Conduct deep research into large language models and reinforcement learning to drive innovation.
- Mentor a diverse team of engineers and data scientists, fostering a culture of technical excellence.
- Collaborate closely with product and engineering leadership to translate business needs into technical solutions.
- Optimize model inference and deployment strategies for edge devices and cloud environments.
Why join us?
Be part of a company that is shaping the future. We offer competitive compensation, comprehensive health benefits, and the opportunity to work on projects that will impact millions of users worldwide.
Responsibilities
- Architect and implement scalable AI/ML pipelines using Python, TensorFlow, and PyTorch.
- Lead the technical vision for Project 2026, ensuring alignment with business goals.
- Conduct research and prototype novel algorithms to improve model accuracy and efficiency.
- Mentor junior engineers and data scientists, fostering a culture of innovation.
- Collaborate with product managers to define AI requirements and roadmap.
- Ensure system scalability, security, and reliability in production environments.
Qualifications
- Master’s or Ph.D. in Computer Science, Mathematics, or a related field.
- 7+ years of experience in machine learning, deep learning, or AI architecture.
- Strong proficiency in programming languages such as Python, C++, or Java.
- Experience with large language models (LLMs) and generative AI technologies.
- Demonstrated leadership experience in managing cross-functional engineering teams.
- Deep understanding of distributed systems and cloud infrastructure (AWS, GCP, or Azure).
- Excellent communication skills and ability to explain complex technical concepts.