Job Description
We are looking for a visionary Future-Ready AI Architect to help us define the technology landscape of 2026. In this role, you won't just maintain existing systems; you will build the foundational infrastructure for the next generation of intelligent applications. If you are passionate about the intersection of Generative AI, Ethics, and Scalable Cloud Architecture, we want to meet you.
As a leader in our organization, you will guide our technical roadmap to ensure we are ahead of the curve by 2026. You will work with cross-functional teams to integrate cutting-edge models into production environments, ensuring they are secure, efficient, and aligned with our long-term vision.
Why Join Us?
- Work on projects that shape the future of the industry.
- Competitive compensation and equity package.
- Flexible remote-first work culture.
Responsibilities
- Architect Future Systems: Design and implement robust AI architectures that can scale to meet the demands of the 2026 digital economy.
- Lead Model Strategy: Oversee the selection and integration of Generative AI models, ensuring optimal performance and cost-efficiency.
- Drive Innovation: Stay ahead of industry trends to propose new technologies and methodologies that give our company a competitive edge.
- Ensure Ethical AI: Implement best practices for data privacy, bias mitigation, and responsible AI usage in all deployments.
- Optimize Infrastructure: Collaborate with DevOps teams to streamline deployment pipelines and improve system reliability.
Qualifications
- Experience: 7+ years of experience in software engineering, with at least 3 years in AI/ML architecture or a related field.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with cloud platforms (AWS, GCP, or Azure).
- Leadership: Proven track record of leading technical teams and driving strategic technical decisions.
- Problem Solving: Strong ability to solve complex architectural challenges and translate business requirements into technical solutions.
- Education: Bachelor’s degree in Computer Science, Engineering, or a related technical field (Master’s preferred).