Job Description
We are seeking a visionary Senior AI Architect to spearhead our next-generation artificial intelligence initiatives. As we look toward the future of technology in 2026 and beyond, we need a leader who can bridge the gap between theoretical research and scalable production systems. You will be instrumental in designing the architecture that powers our autonomous agents and predictive intelligence platforms.
Why Join Us?
- Work on cutting-edge Agentic AI and Large Language Models (LLMs).
- Competitive compensation package and equity options.
- Flexible remote-first culture with state-of-the-art equipment.
Ready to shape the future? Apply today.
Responsibilities
- Architect Solutions: Design and implement robust, scalable AI architectures for large-scale distributed systems, focusing on performance and reliability.
- Model Optimization: Lead the optimization of inference pipelines for Generative AI models, reducing latency and operational costs.
- R&D Leadership: Conduct advanced research in machine learning, deep learning, and reinforcement learning to drive innovation.
- Team Mentorship: Mentor junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
- System Integration: Collaborate with cross-functional product teams to integrate AI models into consumer and enterprise applications seamlessly.
- Ethical AI: Ensure all AI systems adhere to ethical guidelines and best practices regarding bias, privacy, and transparency.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: Minimum of 7+ years of experience in software engineering, with at least 4 years specifically focused on AI/ML architecture.
- Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and MLOps tools (e.g., Kubeflow, MLflow).
- Cloud Proficiency: Strong experience deploying models on AWS, GCP, or Azure using containerization technologies (Docker, Kubernetes).
- Problem Solving: Demonstrated ability to tackle complex technical challenges and deliver innovative solutions under tight deadlines.
- Communication: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.