Job Description
Are you ready to define the landscape of technology in 2026? Nexus Horizon Systems is at the forefront of the AI revolution, building the autonomous agents and neural architectures that will power the next decade. We are seeking a visionary Senior AI Architect to lead our cutting-edge research and development division.
In this pivotal role, you won't just be maintaining systems; you will be architecting the future of autonomous intelligence. You will bridge the gap between theoretical AI research and scalable, production-grade software, ensuring our solutions are not only powerful but also ethical and secure.
Why Join Us?
- Work on projects that are shaping the trajectory of AI for 2026 and beyond.
- Competitive compensation package with equity options.
- Flexible remote-first culture with premium tech equipment.
Responsibilities
- Architect Future-Proof Systems: Design and implement scalable AI infrastructure focusing on Agentic AI workflows and multi-modal Large Language Models (LLMs).
- R&D Leadership: Spearhead research initiatives to improve model accuracy, efficiency, and reasoning capabilities for autonomous agents.
- Model Deployment: Oversee the deployment, fine-tuning, and MLOps pipeline for proprietary AI models in cloud environments.
- Technical Mentorship: Lead a team of brilliant engineers and data scientists, fostering a culture of innovation and continuous learning.
- Security & Ethics: Implement robust guardrails and safety protocols to ensure AI outputs are aligned with ethical standards and regulatory requirements.
- Strategic Vision: Collaborate with product leadership to define technical roadmaps that align with our 2026 strategic goals.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 7+ years of experience in software engineering, with at least 4 years specializing in AI/ML architecture and deployment.
- Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, or JAX. Experience with LangChain or similar agent frameworks is required.
- Cloud Mastery: Proven experience designing distributed systems on AWS, GCP, or Azure.
- Problem Solving: Exceptional ability to deconstruct complex problems and translate them into elegant, efficient technical solutions.
- Communication: Strong verbal and written communication skills, capable of explaining complex technical concepts to non-technical stakeholders.