Job Description
We are looking for a visionary Senior AI Architect to define the technical roadmap for the future of our enterprise. In this role, you will be at the forefront of deploying cutting-edge Generative AI and Quantum-Ready technologies to prepare our infrastructure for the year 2026 and beyond. You will lead a team of elite engineers, designing scalable, secure, and ethical AI systems that solve complex business problems.
Why join us?
- Shape the Future: Work on projects that are pre-empting the next generation of AI evolution.
- Competitive Compensation: Attractive base salary plus performance-based equity.
- World-Class Team: Collaborate with industry leaders in Silicon Valley.
If you are passionate about building the architecture of tomorrow, we want to hear from you.
Responsibilities
- Define and execute the technical vision for the company's AI infrastructure leading up to 2026.
- Design and implement scalable machine learning pipelines and deep learning models.
- Lead the integration of Large Language Models (LLMs) into core enterprise workflows.
- Ensure system scalability, security, and data privacy in all AI deployments.
- Mentor junior architects and engineers, fostering a culture of innovation and continuous learning.
- Collaborate with product managers to translate business requirements into technical specifications.
- Research and prototype emerging technologies (e.g., Neuromorphic computing) relevant to the 2026 roadmap.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Minimum of 7 years of experience in software architecture and machine learning engineering.
- Expert proficiency in Python, PyTorch, TensorFlow, and modern deep learning frameworks.
- Strong experience designing distributed systems and cloud-native architectures (AWS, GCP, or Azure).
- Deep understanding of NLP, Computer Vision, or Reinforcement Learning.
- Proven track record of leading high-performance engineering teams.
- Familiarity with AI ethics, bias mitigation, and responsible AI practices.