Job Description
We are seeking a visionary Lead AI Architect to define the technological roadmap for the Year 2026 and beyond. In this high-impact role, you will bridge the gap between emerging Generative AI trends and enterprise-scale infrastructure. You won't just be maintaining systems; you will be building the foundation for the next generation of intelligent digital experiences.
Join a team that values innovation, agility, and long-term strategic thinking. You will work alongside top-tier engineers to deploy scalable Machine Learning models and ensure our platforms are future-proofed for the rapid advancements of 2026.
Responsibilities
- Strategic Architecture: Design and implement scalable, resilient AI architectures capable of supporting massive concurrent loads and future technological shifts.
- Model Deployment: Oversee the end-to-end deployment of Large Language Models (LLMs) and computer vision systems using modern MLOps pipelines.
- Future-Proofing: Conduct research on quantum computing readiness and edge AI integration to ensure systems remain relevant in 2026.
- Team Leadership: Mentor a diverse group of software engineers and data scientists, fostering a culture of technical excellence and continuous learning.
- Performance Optimization: Tune model inference speed and optimize cloud resource costs without sacrificing accuracy or user experience.
- Cross-Functional Collaboration: Partner with product managers and business stakeholders to translate complex technical requirements into actionable development roadmaps.
Qualifications
- Education: Master’s or Ph.D. degree in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: Minimum of 7+ years of experience in software engineering, with at least 3 years in a Lead Architect or Senior AI Engineer role.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and modern MLOps tools (Kubernetes, Docker, MLflow).
- Cloud Mastery: Deep expertise in AWS, GCP, or Azure, specifically regarding serverless computing and managed AI services.
- GenAI Expertise: Hands-on experience with fine-tuning LLMs, RAG architectures, and prompt engineering for enterprise applications.