Job Description
The Opportunity:
We are building the infrastructure for tomorrow. As a Senior AI Architect at Nexus Horizon Technologies, you won't just build software; you will architect the intelligent systems that define the 2026 technological landscape. We are seeking a visionary leader to bridge the gap between theoretical AI research and scalable production engineering.
Why Join Us?
Work on next-generation neural networks, ethical AI frameworks, and autonomous systems. If you are passionate about the future and want to leave a legacy in the evolution of AI, this is your stage.
Role Overview:
You will lead the design and deployment of large-scale machine learning models, ensuring they are robust, scalable, and future-proof. You will work closely with cross-functional teams to integrate AI capabilities into our core products.
Responsibilities
- Architectural Leadership: Design and implement scalable AI infrastructure pipelines tailored for high-performance computing environments.
- Model Development: Lead the research and development of cutting-edge generative models and predictive algorithms.
- Strategy & Vision: Define the 2026 AI roadmap, identifying emerging trends and integrating them into our product strategy.
- System Optimization: Oversee the optimization of model inference and training times to ensure real-time performance.
- Team Mentorship: Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Cross-Functional Collaboration: Partner with product managers and security experts to ensure AI solutions are safe, compliant, and user-centric.
- Proof of Concepts: Rapidly prototype and validate new AI technologies to prove viability before full-scale deployment.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 8+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
- Technical Skills: Deep proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks.
- Cloud Mastery: Expert-level experience with AWS, Google Cloud Platform, or Azure, specifically in AI services.
- Problem Solving: Proven track record of solving complex, ambiguous technical problems in large-scale environments.
- Leadership: Demonstrated ability to lead high-performing engineering teams and manage cross-functional projects.
- Future-Forward Thinking: A strong interest in emerging technologies and the ability to adapt to the fast-evolving AI landscape.