Job Description
We are seeking a visionary Senior AI Architect to define the technological roadmap for 2026 and beyond. As the industry evolves towards Agentic AI and Autonomous Systems, your expertise will be pivotal in building the next generation of intelligent platforms. Join Nexus Future Systems and lead a high-impact team shaping the future of enterprise technology.
Why Join Us?
- Work on cutting-edge Generative AI and LLM infrastructures.
- Competitive salary and equity package.
- Flexible remote-first culture with office hubs in SF and NYC.
Key Responsibilities:
- Architect scalable, high-performance AI models tailored for the 2026 technological landscape.
- Lead the end-to-end machine learning lifecycle, from research to production deployment.
- Define technical standards and best practices for AI ethics, safety, and compliance.
- Collaborate with cross-functional teams to integrate AI solutions into core business products.
- Mentor junior engineers and data scientists, fostering a culture of innovation.
- Predict and evaluate emerging AI trends to keep our stack ahead of the curve.
Qualifications:
- PhD or Master’s degree in Computer Science, Mathematics, or a related field.
- 10+ years of experience in software engineering and machine learning.
- Deep expertise in Python, PyTorch, and TensorFlow.
- Proven track record of deploying Large Language Models (LLMs) at scale.
- Strong understanding of MLOps, cloud architecture (AWS/GCP), and containerization (Docker/K8s).
- Excellent communication skills with the ability to translate complex technical concepts for stakeholders.
Responsibilities
- Architect scalable, high-performance AI models tailored for the 2026 technological landscape.
- Lead the end-to-end machine learning lifecycle, from research to production deployment.
- Define technical standards and best practices for AI ethics, safety, and compliance.
- Collaborate with cross-functional teams to integrate AI solutions into core business products.
- Mentor junior engineers and data scientists, fostering a culture of innovation.
- Predict and evaluate emerging AI trends to keep our stack ahead of the curve.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related field.
- 10+ years of experience in software engineering and machine learning.
- Deep expertise in Python, PyTorch, and TensorFlow.
- Proven track record of deploying Large Language Models (LLMs) at scale.
- Strong understanding of MLOps, cloud architecture (AWS/GCP), and containerization (Docker/K8s).
- Excellent communication skills with the ability to translate complex technical concepts for stakeholders.