Job Description
We are on the hunt for a visionary Lead AI Strategist to guide our technological roadmap toward the future of 2026 and beyond. At Nexus Innovations, we don't just predict trends; we engineer them. You will be at the forefront of integrating advanced Artificial Intelligence and Machine Learning solutions into our core product ecosystems, ensuring we remain the industry leader in the coming decade.
As a key member of our executive team, you will bridge the gap between theoretical research and practical application, fostering a culture of innovation that pushes the boundaries of what is possible.
Why Join Us?
- Competitive compensation package and equity options.
- Flexible remote-first policy with state-of-the-art home office stipends.
- Access to cutting-edge hardware and proprietary datasets.
- Continuous learning budget for conferences and certifications.
Your Mission:
To architect scalable AI frameworks that define the user experience of 2026 and drive sustainable business growth through intelligent automation.
Responsibilities
- Define and execute the long-term AI research and development roadmap aligned with the 2026 vision.
- Lead a cross-functional team of data scientists, engineers, and product managers to prototype and deploy next-gen AI models.
- Collaborate with executive leadership to translate technical capabilities into business strategy.
- Oversee the integration of Large Language Models (LLMs) and generative AI into customer-facing products.
- Mentor junior researchers and establish best practices for ethical AI and data governance.
- Monitor global technology trends to identify disruptive innovations that could impact our market position.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Minimum of 8 years of experience in AI/ML engineering, with at least 3 years in a leadership or strategic role.
- Deep expertise in Python, PyTorch, TensorFlow, and cloud-native AI infrastructure (AWS/GCP/Azure).
- Proven track record of successfully launching AI products in a commercial environment.
- Strong understanding of NLP, computer vision, or reinforcement learning.
- Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.