Job Description
We are looking for a visionary Senior AI & Future Tech Architect to join Horizon 2026 Solutions. In this pivotal role, you will define the technological roadmap for our upcoming decade, leveraging cutting-edge artificial intelligence to solve complex, forward-looking challenges. If you are passionate about shaping the future of technology and possess the expertise to bridge the gap between theoretical innovation and practical application, we want to hear from you.
About the Role
As a Senior AI Architect, you will lead the design and implementation of next-generation AI systems. You will work closely with cross-functional teams to deploy autonomous agents, optimize neural networks for real-time decision making, and establish ethical frameworks for AI governance. This is not just a job; it is a mission to engineer the digital landscape of 2026 and beyond.
Why Join Us?
- Work on state-of-the-art projects that define the future.
- Competitive compensation package including equity.
- Flexible remote-first culture with premium office amenities in SF.
- Continuous learning opportunities and access to the latest tech stacks.
Responsibilities
- Architect and deploy scalable machine learning models and neural networks capable of operating in dynamic, real-time environments.
- Lead the research and development of Generative AI tools to enhance product capabilities and user experiences.
- Define and implement AI governance frameworks to ensure ethical standards and compliance with global regulations.
- Collaborate with product managers and engineering teams to translate business requirements into robust technical solutions.
- Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Conduct performance tuning and optimization for large-scale data processing pipelines.
Qualifications
- Master’s or Ph.D. in Computer Science, Machine Learning, or a related technical field.
- Minimum of 5+ years of professional experience in AI/ML engineering, with a focus on deep learning frameworks.
- Proficiency in programming languages such as Python, C++, and R.
- Extensive experience with TensorFlow, PyTorch, and MLOps tools (e.g., Kubeflow, MLflow).
- Strong understanding of distributed systems, cloud architecture (AWS/GCP), and big data technologies (Spark, Kafka).
- Proven track record of leading cross-functional teams and managing technical projects from conception to deployment.
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.