Job Description
We are looking for a visionary Senior AI Architect to lead our engineering team in defining the technological roadmap for the year 2026. As we stand on the precipice of a new era of artificial intelligence, your work will directly influence how we integrate generative models, autonomous agents, and quantum-ready infrastructure into our core products.
In this role, you will bridge the gap between theoretical research and practical application, ensuring our systems are scalable, secure, and ready for the demands of the future. If you are passionate about building the future and have a knack for complex problem-solving, we want to meet you.
Responsibilities
- Architect and design scalable machine learning pipelines and AI-driven infrastructure designed for 2026 workloads.
- Lead a cross-functional team of data scientists and engineers to implement cutting-edge generative AI models.
- Define technical roadmaps and architectural standards that ensure long-term scalability and resilience.
- Collaborate with product managers to translate futuristic concepts into tangible software solutions.
- Conduct rigorous code reviews and technical mentoring to foster a culture of engineering excellence.
- Stay ahead of industry trends, specifically focusing on advancements in AI safety, ethics, and efficiency.
- Optimize existing systems for performance, ensuring high availability and low latency in global markets.
Qualifications
- 10+ years of experience in software engineering, with at least 5 years in a senior architecture or leadership role.
- Deep expertise in Python, TensorFlow, PyTorch, or similar machine learning frameworks.
- Strong understanding of cloud architecture (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Experience with Large Language Models (LLMs) and prompt engineering methodologies.
- Proven track record of leading diverse teams through complex technical challenges.
- Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
- Master’s degree in Computer Science, Artificial Intelligence, or a related field is preferred.