Job Description
Are you ready to define the digital landscape of 2026?
We are a pioneering technology firm at the forefront of the next industrial revolution. As we prepare to launch our flagship AI infrastructure in 2026, we are seeking a visionary Senior AI Architect to lead our technical strategy. You won't just be building models; you will be architecting the ethical, scalable, and future-proof systems that will power the next decade of human-machine interaction.
In this role, you will bridge the gap between theoretical AI research and practical, high-performance engineering. You will work alongside world-class researchers and product managers to deliver AI solutions that are not only state-of-the-art today but remain relevant and robust through the 2026 horizon and beyond.
Why join us?
- Impact: Directly influence the architecture of our core products slated for the 2026 market release.
- Equity: Competitive stock options in a high-growth startup environment.
- Flexibility: Hybrid work model based in the heart of Manhattan.
If you are passionate about the future of AI and want to build systems that stand the test of time, we want to hear from you.
Responsibilities
- Architectural Leadership: Design and oversee the end-to-end architecture of our Generative AI and Machine Learning platforms, ensuring scalability, security, and performance for 2026 standards.
- Trend Integration: Identify and integrate emerging AI technologies (e.g., Autonomous Agents, LLMs, Multimodal Learning) into our product roadmap ahead of the 2026 curve.
- System Optimization: Lead initiatives to optimize model inference and training pipelines, significantly reducing latency and computational costs.
- Team Mentorship: Mentor junior engineers and data scientists, fostering a culture of technical excellence and continuous learning.
- Stakeholder Management: Translate complex technical concepts into clear, actionable insights for non-technical stakeholders and investors.
- Ethical AI Compliance: Ensure all AI systems adhere to strict ethical guidelines and bias mitigation protocols.
Qualifications
- Experience: 8+ years of experience in software engineering, with at least 5 years specifically focused on AI/ML architecture and large-scale system design.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and modern cloud infrastructure (AWS, GCP, or Azure).
- Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- Strategic Vision: Demonstrated ability to anticipate industry trends and adapt technical roadmaps to meet future business needs (2026+ outlook).
- Communication: Exceptional verbal and written communication skills with the ability to lead technical discussions.
- Problem Solving: Proven track record of solving complex, ambiguous problems in high-pressure environments.