Job Description
Are you ready to architect the intelligence systems of tomorrow? FutureScale Inc. is seeking a visionary Senior Generative AI Architect to lead our 2026 Readiness Initiative. In this role, you will be at the forefront of the AI revolution, designing scalable, secure, and ethically sound large language models (LLMs) that will define the future of enterprise automation.
We are looking for a thought leader who not only understands the current state of AI but is also proactively engineering solutions for the advanced technological landscape of 2026. You will work closely with cross-functional teams to integrate cutting-edge AI capabilities into our core products, ensuring we remain ahead of the curve in a rapidly evolving market.
Why Join Us?
- Work on mission-critical AI infrastructure that impacts millions of users.
- Competitive compensation package with equity options.
- Flexible remote-first culture with a hub in the heart of San Francisco.
Responsibilities
- Design and deploy robust, scalable Generative AI models and RAG (Retrieval-Augmented Generation) pipelines.
- Lead the technical strategy for 2026-era AI integration, including multimodal models and autonomous agents.
- Optimize model inference performance and reduce latency for real-time applications.
- Establish best practices for AI ethics, data privacy, and compliance (GDPR/CCPA).
- Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
- Collaborate with product managers to translate complex AI concepts into user-centric features.
Qualifications
- PhD or Master’s degree in Computer Science, Machine Learning, or a related technical field.
- Minimum of 6+ years of experience in Machine Learning, Deep Learning, or Natural Language Processing.
- Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
- Deep understanding of LLM architectures (e.g., GPT, BERT, Llama) and fine-tuning methodologies.
- Strong experience with MLOps tools (e.g., MLflow, Kubeflow, AWS SageMaker).
- Proven track record of shipping production-grade AI applications.