Job Description
We are seeking a visionary Senior AI Architect to spearhead our 2026 Horizon Initiative. As we look toward the next era of artificial intelligence, you will be responsible for architecting scalable, secure, and ethical infrastructure that will define our product landscape for years to come. This is a rare opportunity to influence the roadmap of a cutting-edge technology firm operating at the forefront of the industry.
In this role, you will bridge the gap between theoretical research and practical application, ensuring our AI models are robust, compliant, and ready for deployment in complex real-world environments. You will lead a cross-functional team of engineers and data scientists to build the foundation for our 2026 goals.
Responsibilities
- Lead the 2026 Technical Roadmap: Define and execute the architectural vision for our AI systems, aligning technical milestones with business objectives for the 2026 release cycle.
- System Design: Design and oversee the implementation of large-scale distributed AI systems, ensuring high availability and fault tolerance.
- Model Optimization: Collaborate with data scientists to optimize model performance, reduce latency, and enhance inference accuracy.
- Talent Development: Mentor junior architects and engineers, fostering a culture of technical excellence and continuous learning.
- Compliance & Ethics: Ensure all AI implementations adhere to industry standards, privacy regulations, and ethical AI guidelines.
- Technical Strategy: Evaluate emerging technologies and frameworks to drive innovation and maintain a competitive edge in the market.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 10+ years of experience in software engineering, with at least 5 years focused on AI/ML architecture and system design.
- Technical Stack: Deep expertise in Python, TensorFlow, PyTorch, and cloud platforms (AWS, GCP, or Azure).
- Leadership: Proven track record of leading technical teams and managing cross-functional projects.
- Problem Solving: Exceptional ability to solve complex engineering problems and scale systems under heavy load.
- Communication: Strong verbal and written communication skills, capable of translating technical concepts for non-technical stakeholders.