Job Description
Shape the Future of Intelligent Systems
We are seeking a visionary Senior AI Architect to lead our next-generation research and development initiatives. In this pivotal role, you will define the technical roadmap for our proprietary AI systems, ensuring we remain at the forefront of innovation by 2026 and beyond.
As a key member of our elite engineering team, you will bridge the gap between theoretical machine learning research and scalable production systems. You will drive the adoption of cutting-edge generative models and ensure our solutions are secure, ethical, and transformative.
Why Join Us?
- Work on projects that define the industry standard for Artificial General Intelligence (AGI).
- Competitive compensation package including equity and performance bonuses.
- Flexible remote-first culture with top-tier equipment.
Responsibilities
- Strategic Vision: Lead the architectural design and technical strategy for large-scale AI models, specifically focusing on Generative AI and Predictive Analytics trends for 2026.
- Model Development: Oversee the end-to-end lifecycle of machine learning models, from data ingestion and training to fine-tuning and deployment.
- Team Leadership: Mentor a team of top-tier data scientists and engineers, fostering a culture of innovation and technical excellence.
- Infrastructure Optimization: Design and implement scalable cloud-native infrastructure (AWS/Azure) to support high-traffic AI inference and training workloads.
- Cross-Functional Collaboration: Partner with product management and engineering leads to translate business requirements into robust technical solutions.
- Compliance & Ethics: Ensure all AI implementations adhere to strict ethical guidelines and data privacy regulations.
Qualifications
- Education: Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field.
- Experience: 7+ years of experience in software engineering with a strong focus on AI/ML architecture.
- Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks (Kubernetes, Apache Spark).
- Frameworks: Proven track record of implementing and optimizing Large Language Models (LLMs) and transformer architectures.
- Problem Solving: Exceptional ability to solve complex, unstructured problems and optimize system latency.
- Communication: Excellent verbal and written communication skills, capable of presenting technical concepts to non-technical stakeholders.