Job Description
We are seeking a visionary AI Lead to architect the technological roadmap for our company leading into the year 2026. As we prepare to redefine the boundaries of artificial intelligence and machine learning, we need a leader who can bridge the gap between theoretical innovation and scalable, real-world application.
In this pivotal role, you will be responsible for setting the technical direction for our upcoming flagship products, ensuring our infrastructure is ready for the demands of the future, and mentoring a team of elite engineers. If you have a passion for pushing the envelope of what's possible and want to leave a lasting impact on the industry, we want to hear from you.
Responsibilities
- Define and execute the comprehensive 2026 AI and Machine Learning roadmap, aligning technical milestones with business objectives.
- Architect scalable, high-performance systems capable of handling next-generation data loads and AI inference.
- Lead the design and implementation of proprietary AI models, focusing on generative AI, natural language processing, and predictive analytics.
- Mentor and cultivate a high-performing engineering team, fostering a culture of innovation and continuous learning.
- Collaborate with cross-functional stakeholders including product managers, designers, and executives to translate complex concepts into actionable strategies.
- Stay ahead of emerging tech trends and evaluate their potential application to maintain our competitive edge.
- Oversee the integration of ethical AI practices and ensure compliance with evolving industry standards.
Qualifications
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
- 10+ years of experience in software engineering, with at least 5 years in a leadership role within AI/ML.
- Deep expertise in Python, TensorFlow, PyTorch, and modern cloud infrastructure (AWS, GCP, or Azure).
- Proven track record of delivering complex AI systems from concept to production.
- Strong understanding of neural networks, deep learning architectures, and large language models.
- Exceptional communication skills, with the ability to articulate technical vision to non-technical stakeholders.
- Demonstrated ability to work in a fast-paced, startup environment where adaptability is key.