Job Description
Are you ready to shape the future of technology? 2026 Innovations is seeking a visionary Senior AI Architect to lead our next-generation research and development initiatives.
We are building the infrastructure for tomorrow's intelligence. In this role, you won't just maintain systems; you will architect the very fabric of our AI ecosystem. If you are passionate about pushing the boundaries of what's possible in Machine Learning and Deep Learning, we want to hear from you.
Why Join Us?
- Work on cutting-edge projects with a high-impact mission.
- Competitive compensation package and equity options.
- Flexible remote-first policy with a hub in Austin, TX.
Responsibilities
- Architect Scalable AI Systems: Design and implement robust, scalable, and secure machine learning pipelines and infrastructure.
- Lead Research & Development: Drive innovation in generative models, NLP, and computer vision to meet 2026 roadmap objectives.
- Model Optimization: Continuously monitor, evaluate, and optimize model performance for latency, accuracy, and cost-efficiency.
- Technical Leadership: Mentor junior engineers and data scientists, fostering a culture of technical excellence and collaboration.
- Cross-Functional Collaboration: Partner with product managers and engineering teams to translate business requirements into technical solutions.
- Stay Ahead of Trends: Research and evaluate emerging AI technologies and frameworks to keep our stack future-proof.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field (or equivalent practical experience).
- Experience: 5+ years of professional experience in software engineering and machine learning, with at least 2 years in a leadership or architect role.
- Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, or JAX.
- Cloud Proficiency: Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Problem Solving: Proven track record of solving complex technical challenges in large-scale distributed systems.
- Communication: Excellent verbal and written communication skills for technical presentations and documentation.