Job Description
We are seeking a visionary Senior AI Architect to define the technological horizon for 2026 and beyond. You will be at the forefront of integrating next-generation AI models into our core infrastructure, driving innovation that scales across global markets. This is not merely a coding role; it is a strategic leadership position requiring a deep understanding of both the art and science of machine learning.
Our Vision for 2026:
As we approach the pivotal year of 2026, our mission is to revolutionize how enterprise data interacts with autonomous systems. You will be responsible for architecting the frameworks that will power our next generation of products, ensuring they are robust, scalable, and ethically sound.
Key Highlights:
- Work on cutting-edge Large Language Models (LLMs) and generative AI.
- Competitive compensation package and equity options.
- Flexible remote-first culture with top-tier benefits.
Responsibilities
- Architectural Leadership: Design and implement scalable AI infrastructure strategies specifically tailored for the 2026 product roadmap.
- Roadmap Execution: Partner with product managers and engineering leads to translate high-level business goals into technical specifications.
- Model Optimization: Oversee the training, fine-tuning, and deployment of proprietary AI models to ensure maximum performance and accuracy.
- Talent Development: Mentor a team of junior and mid-level data scientists and engineers, fostering a culture of continuous learning.
- Technical Strategy: Evaluate emerging AI technologies and frameworks, making strategic recommendations to stay ahead of industry trends.
- Compliance & Ethics: Ensure all AI implementations adhere to data privacy regulations and ethical AI guidelines.
Qualifications
- Education: Master’s or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field.
- Experience: 7+ years of professional experience in software engineering, with at least 4 years focused specifically on AI/ML architecture.
- Technical Skills: Deep proficiency in Python, PyTorch, TensorFlow, and distributed computing systems (e.g., Kubernetes, AWS).
- Strategic Vision: Proven track record of leading technical initiatives from conception to production in a fast-paced environment.
- Communication: Excellent ability to communicate complex technical concepts to non-technical stakeholders and executive leadership.
- Problem Solving: Demonstrated ability to solve complex, ambiguous problems with innovative solutions.