Job Description
We are looking for a visionary Senior AI Architect to lead our technology roadmap for 2026. In this pivotal role, you will define the architectural blueprint for next-generation generative AI systems and predictive analytics platforms. Join us in building the intelligent infrastructure of tomorrow.
Why Join Us?
We are at the forefront of the AI revolution, specifically focused on preparing our infrastructure for the technological landscape of 2026. You will have the autonomy to experiment with cutting-edge Large Language Models (LLMs) and edge computing solutions while mentoring a team of talented engineers.
Responsibilities
- Architect & Design: Design scalable, high-performance AI and machine learning architectures capable of handling petabytes of data.
- Strategy Development: Lead the technical strategy for the 2026 roadmap, identifying emerging technologies like Neuromorphic Computing and Agentic AI.
- Model Deployment: Oversee the deployment and optimization of production-grade models using MLOps best practices.
- Team Leadership: Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
- Performance Optimization: Continuously monitor and optimize model latency and inference costs.
- Cross-functional Collaboration: Work closely with product managers and data scientists to translate business requirements into technical solutions.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related field.
- Experience: 8+ years of experience in software engineering and machine learning, with at least 3 years in a senior architectural role.
- Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, and distributed systems.
- AI Focus: Proven track record of working with Generative AI, LLMs, or Reinforcement Learning.
- Leadership: Strong experience leading cross-functional teams and driving technical vision.
- Communication: Excellent verbal and written communication skills, capable of explaining complex technical concepts to non-technical stakeholders.