Job Description
Shape the Future of Intelligence
We are looking for a visionary Lead AI Architect to spearhead our roadmap for 2026. In this pivotal role, you will bridge the gap between cutting-edge research and scalable production systems. If you are passionate about defining the technological landscape of the next decade, we want to hear from you.
Why Join Us?
- Work at the intersection of neuroscience and software engineering.
- Lead a team of elite engineers pushing the boundaries of AI.
- Competitive compensation package with equity options.
What You Will Do
- Architect and oversee the development of our core 2026 AI infrastructure.
- Define long-term technical strategies and roadmaps aligned with business goals.
- Collaborate with cross-functional teams to integrate AI solutions into enterprise products.
- Drive innovation in machine learning models, NLP, and predictive analytics.
- Ensure system scalability, security, and performance at a global scale.
- Mentor junior developers and foster a culture of continuous learning.
Requirements
- 10+ years of experience in software engineering and artificial intelligence.
- Deep expertise in Python, PyTorch, TensorFlow, and distributed systems.
- Proven track record of leading large-scale ML projects from conception to deployment.
- Strong understanding of neural network architectures and large language models.
- Excellent communication skills with the ability to translate technical concepts for non-technical stakeholders.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
Responsibilities
- Define and execute the technical vision for the 2026 AI ecosystem.
- Design scalable microservices architecture for high-throughput AI workloads.
- Lead code reviews and establish engineering best practices.
- Identify emerging technologies and evaluate their potential impact on the roadmap.
- Manage technical risks and dependencies across the development lifecycle.
Qualifications
- Master’s or PhD in Computer Science, AI, or a related field.
- Strong proficiency in SQL and NoSQL databases.
- Experience with MLOps tools and CI/CD pipelines.
- Ability to thrive in a fast-paced, startup-like environment.
- Demonstrated leadership in managing diverse engineering teams.