Job Description
We are seeking a visionary Senior AI Architect to spearhead the development of our next-generation artificial intelligence infrastructure. In this pivotal role, you will define the strategic roadmap for our 2026 product suite, ensuring we remain at the forefront of the tech revolution. You will be responsible for designing scalable, robust AI systems that drive business value and user engagement.
What You'll Do:
- Architect and lead the implementation of advanced machine learning models and deep learning frameworks.
- Define the long-term technical vision and strategy for AI integration across all product lines.
- Collaborate closely with product managers and engineers to translate business goals into technical solutions.
- Optimize existing algorithms for performance, scalability, and energy efficiency.
- Drive innovation in areas such as Generative AI, Predictive Analytics, and Natural Language Processing.
- Establish best practices for AI development, testing, and deployment.
Why Apply? Join a team that values innovation, autonomy, and impact. We offer a competitive compensation package and the opportunity to shape the future of technology.
Responsibilities
- Lead the design and implementation of next-generation AI/ML systems and infrastructure.
- Define the technical roadmap and strategic vision for AI products targeting the 2026 market.
- Collaborate with cross-functional teams to integrate AI solutions into core business applications.
- Optimize existing algorithms for performance, scalability, and cost-efficiency.
- Conduct research on emerging trends in artificial intelligence to stay ahead of the curve.
- Mentor junior engineers and architects on best practices in machine learning engineering.
Qualifications
- 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
- Deep understanding of Machine Learning principles, Deep Learning, and Neural Networks.
- Proficiency in Python, TensorFlow, PyTorch, or similar frameworks.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
- Strong background in distributed systems and high-availability architecture.
- Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders.