Job Description
Join 2026, a forward-thinking technology firm dedicated to architecting the future. We are seeking a visionary Lead AI Architect to spearhead the development of next-generation machine learning infrastructure designed to define the landscape of the year 2026 and beyond. In this role, you will bridge the gap between theoretical AI capabilities and scalable, real-world enterprise solutions.
You will be at the helm of our technical roadmap, ensuring our AI systems are not only robust and efficient but also resilient against future technological shifts. If you are passionate about building systems that scale and possess a deep understanding of the AI ecosystem, we want to hear from you.
Responsibilities
- Architect Scalable AI Infrastructure: Design and implement cutting-edge machine learning pipelines and scalable cloud architectures using AWS and Kubernetes.
- Define the 2026 Roadmap: Lead the technical strategy for the 2026 product release, ensuring alignment with business goals and emerging tech trends.
- Model Optimization: Oversee the research and deployment of advanced deep learning models, focusing on latency reduction and throughput optimization.
- Cross-Functional Leadership: Collaborate with product managers, data scientists, and software engineers to translate complex requirements into technical specifications.
- Code Review & Mentorship: Establish code quality standards and mentor junior engineers, fostering a culture of innovation and technical excellence.
Qualifications
- Education: Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field.
- Experience: 5+ years of experience in software engineering with a strong focus on AI/ML architecture.
- Technical Stack: Proficiency in Python, TensorFlow, PyTorch, and experience with containerization technologies (Docker, Kubernetes).
- Cloud Expertise: Deep understanding of cloud platforms (AWS, Azure, or GCP) and serverless architectures.
- Leadership: Proven track record of leading technical teams and managing large-scale projects from conception to deployment.
- Problem Solving: Ability to navigate ambiguity and solve complex engineering problems with creative solutions.