Job Description
We are seeking a visionary Senior AI Architect to spearhead our technology roadmap leading up to 2026. As a pioneer in generative intelligence, Nexus Future Systems is building the infrastructure that will define the next decade of human-machine interaction. You will not just be writing code; you will be architecting the future.
In this role, you will bridge the gap between theoretical AI research and scalable production systems. You will lead a team of brilliant engineers and data scientists to deploy cutting-edge Large Language Models (LLMs) and autonomous agents. If you are passionate about the trajectory of technology in 2026 and beyond, this is your opportunity to lead.
Why Join Us?
- Impact at Scale: Your work will power millions of interactions across the globe.
- Future-Ready: We are actively preparing for the paradigm shifts of 2026, including AGI integration and edge-computing AI.
- Top-Tier Team: Work alongside industry veterans from Google DeepMind, OpenAI, and Meta.
Core Responsibilities:
- Architect and maintain the high-performance infrastructure required for real-time AI inference.
- Define the technical strategy and architectural vision for the 2026 product roadmap.
- Collaborate with product managers and data scientists to translate complex requirements into robust technical solutions.
- Implement MLOps pipelines to ensure model reliability, scalability, and security.
- Lead code reviews and mentor junior engineers to foster a culture of technical excellence.
- Evaluate and integrate emerging technologies to stay ahead of the 2026 technology curve.
Qualifications:
- 5+ years of experience in software engineering, with at least 2 years specifically focused on AI/ML infrastructure.
- Deep expertise in Python, PyTorch, or TensorFlow.
- Proven experience designing and deploying LLMs (e.g., GPT, Llama) in production environments.
- Strong understanding of vector databases, RAG architectures, and cloud-native services (AWS, GCP, or Azure).
- Experience with containerization (Docker/Kubernetes) and CI/CD pipelines.
- Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
Join us in building the technology of tomorrow, today.
Responsibilities
- Architect and maintain the high-performance infrastructure required for real-time AI inference.
- Define the technical strategy and architectural vision for the 2026 product roadmap.
- Collaborate with product managers and data scientists to translate complex requirements into robust technical solutions.
- Implement MLOps pipelines to ensure model reliability, scalability, and security.
- Lead code reviews and mentor junior engineers to foster a culture of technical excellence.
- Evaluate and integrate emerging technologies to stay ahead of the 2026 technology curve.
Qualifications
- 5+ years of experience in software engineering, with at least 2 years specifically focused on AI/ML infrastructure.
- Deep expertise in Python, PyTorch, or TensorFlow.
- Proven experience designing and deploying LLMs (e.g., GPT, Llama) in production environments.
- Strong understanding of vector databases, RAG architectures, and cloud-native services (AWS, GCP, or Azure).
- Experience with containerization (Docker/Kubernetes) and CI/CD pipelines.
- Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.