Job Description
We are seeking a visionary Senior AI Architect to lead the technological infrastructure for our 2026 roadmap. At Future Systems Inc., we are not just predicting the future; we are engineering it. As a key member of our elite R&D division, you will define the architectural standards for next-generation artificial intelligence and machine learning systems.
In this role, you will bridge the gap between theoretical breakthroughs and scalable production environments. You will work with a world-class team to solve complex problems in neural network optimization, ethical AI, and quantum-ready algorithms.
Why join us?
- Work on projects that define the landscape of 2026 and beyond.
- Competitive compensation package and equity options.
- Flexible remote-first culture with a hub in Austin, TX.
- Access to cutting-edge hardware and proprietary datasets.
Responsibilities
- Design and architect scalable, high-performance AI/ML systems capable of handling petabyte-scale data.
- Lead the research and development of proprietary Large Language Models (LLMs) and generative AI agents.
- Collaborate with cross-functional product teams to translate complex business requirements into technical specifications.
- Define technical roadmaps and best practices for model deployment, monitoring, and explainability.
- Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
- Ensure compliance with ethical AI guidelines and data privacy regulations.
- Conduct rigorous performance tuning and cost optimization for cloud infrastructure.
Qualifications
- 7+ years of experience in software engineering, with at least 4 years in specialized AI/ML architecture.
- Advanced degree (M.S. or Ph.D.) in Computer Science, Mathematics, or a related field is strongly preferred.
- Deep expertise in Python, C++, and distributed systems.
- Proven track record of deploying production-grade machine learning models.
- Strong understanding of deep learning frameworks (TensorFlow, PyTorch) and MLOps tools (Kubeflow, MLflow).
- Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.