Job Description
We are at the cusp of a technological revolution. TechNova Global is defining the roadmap for 2026, building the neural architectures that will power the next generation of autonomous agents and generative ecosystems. We are seeking a Senior AI Architect to join our elite team in San Francisco and drive the evolution of our proprietary AI infrastructure.
In this role, you will bridge the gap between theoretical machine learning breakthroughs and production-grade systems. You will not just write code; you will design the cognitive frameworks that define our products for the decade ahead.
Why Join Us?
- Work on cutting-edge projects that shape the future of technology.
- Competitive compensation and equity packages.
- Flexible remote-first hybrid work environment.
Responsibilities
- Lead Architectural Design: Spearhead the design of scalable AI frameworks capable of processing petabytes of real-time data using neural networks and edge computing principles.
- Model Optimization: Drive the research and implementation of Generative AI and Large Language Model (LLM) fine-tuning strategies to enhance system performance and accuracy.
- Infrastructure Management: Oversee the deployment of models to cloud infrastructure (AWS/GCP), ensuring high availability, fault tolerance, and security compliance.
- Cross-Functional Leadership: Collaborate with data scientists, backend engineers, and product managers to define technical roadmaps and deliver innovative solutions.
- Ethical AI Compliance: Establish governance frameworks to ensure AI outputs are unbiased, transparent, and adhere to global regulatory standards.
- Mentorship: Mentor junior architects and data engineers, fostering a culture of continuous learning and technical excellence.
Qualifications
- Education: Master’s degree in Computer Science, Artificial Intelligence, or a related field (PhD preferred).
- Experience: 7+ years of experience in software engineering, with a specific focus on AI/ML architecture and deep learning.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and modern cloud architecture (AWS, Azure, or GCP).
- System Design: Strong understanding of distributed systems, microservices, and scalable data pipelines.
- Specialization: Proven track record in Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
- Communication: Excellent verbal and written communication skills with the ability to translate complex technical concepts for diverse stakeholders.