Job Description
We are on a mission to engineer the future. As we look toward 2026, the boundaries of Artificial Intelligence are expanding exponentially. We are seeking a visionary Senior AI Architect to lead our research and development initiatives, building the infrastructure that will define the next generation of intelligent systems.
In this role, you won't just be maintaining existing systems; you will be architecting the foundational technologies for the year 2026 and beyond. You will work at the intersection of Generative AI, Large Language Models (LLMs), and scalable cloud infrastructure. If you are passionate about shaping the future of technology and have a deep understanding of AI evolution, we want to hear from you.
Why Join Us?
- Work on cutting-edge projects that are shaping the trajectory of AI in 2026.
- Competitive compensation and equity package.
- Flexible remote-first culture with opportunities for in-person collaboration.
Responsibilities
- Architect Future-Proof Systems: Design and implement robust AI architectures capable of scaling to meet the demands of 2026 and beyond.
- Lead R&D Initiatives: Spearhead research into emerging AI technologies, including next-gen transformers and edge computing AI.
- Model Optimization: Oversee the fine-tuning and deployment of Large Language Models to ensure optimal performance and cost-efficiency.
- Cross-Functional Leadership: Collaborate with product managers, engineers, and data scientists to translate business goals into technical roadmaps.
- Technical Mentorship: Guide a team of junior architects and engineers, fostering a culture of innovation and continuous learning.
- Security & Compliance: Ensure all AI systems adhere to the highest standards of data privacy and ethical AI practices.
Qualifications
- Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 8+ years of experience in software engineering with at least 5 years specifically in AI/ML architecture.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and experience with cloud platforms like AWS, GCP, or Azure.
- AI Expertise: Deep understanding of Deep Learning, NLP, and Generative AI concepts.
- Leadership: Proven track record of leading technical teams and managing complex projects from conception to deployment.
- Future-Forward Mindset: Demonstrated ability to anticipate technological trends and apply them to solve business problems.