Job Description
We are seeking a visionary Senior AI Architect to spearhead our technical trajectory through 2026 and beyond. In this pivotal role, you will define the architectural blueprint for our next-generation artificial intelligence solutions, ensuring scalability, security, and innovation. You will bridge the gap between theoretical research and practical application, leading a team of elite engineers to build systems that define the future of our industry.
Why Join Us?
We are not just building software; we are architecting the future. You will work in a cutting-edge environment where your contributions directly impact the 2026 roadmap, offering competitive equity packages and unparalleled growth opportunities.
Responsibilities
- Define and execute the long-term technical roadmap for AI systems through 2026, aligning business goals with engineering excellence.
- Design and deploy scalable machine learning architectures using state-of-the-art frameworks like TensorFlow and PyTorch.
- Lead a cross-functional team of data scientists and engineers to integrate AI models into core product offerings.
- Mentor junior developers, fostering a culture of continuous learning and technical innovation.
- Oversee the end-to-end lifecycle of AI projects, from data ingestion and model training to deployment and monitoring.
- Ensure robust data governance and ethical AI practices across all initiatives.
- Collaborate with product management to translate complex technical requirements into actionable development tasks.
Qualifications
- 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture and leadership.
- Deep expertise in Python, machine learning algorithms, and deep learning frameworks.
- Proven track record of delivering large-scale AI solutions in production environments.
- Strong understanding of MLOps, cloud infrastructure (AWS/GCP/Azure), and containerization technologies (Docker/Kubernetes).
- Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.
- Master’s degree in Computer Science, Mathematics, or a related field; PhD is a plus.
- Demonstrated ability to work in a fast-paced, agile environment.