Job Description
Are you a visionary architect ready to define the landscape of 2026 technology? Nexus Future Systems is seeking a Senior AI Architect to spearhead our next-generation infrastructure. You will be at the forefront of integrating Generative AI, Quantum-ready frameworks, and sustainable computing practices into our core ecosystem.
We are not just building for today; we are engineering for the future. In this role, you will translate complex business requirements into scalable, robust AI systems that will define our competitive advantage leading into the next decade.
Why Join Us?
- Impactful Work: Directly influence the technical direction of cutting-edge AI solutions.
- Future-Ready: Work on projects specifically designed for the 2026 technological landscape.
- Competitive Compensation: Base salary ranging from $180,000 to $250,000.
Responsibilities
- Architectural Leadership: Design and oversee the implementation of complex, large-scale AI systems aligned with the company's 2026 strategic roadmap.
- Model Optimization: Lead initiatives to optimize machine learning models for high-performance inference and reduced latency in production environments.
- System Integration: Integrate diverse data sources and AI models into a unified, cohesive platform, ensuring seamless interoperability.
- R&D Strategy: Research and evaluate emerging technologies (e.g., Agentic AI, Neuromorphic computing) to keep the architecture future-proof.
- Code Review & Mentorship: Provide technical leadership, conduct rigorous code reviews, and mentor junior engineers and data scientists.
- Ethical AI: Establish and enforce guidelines for ethical AI development, ensuring fairness, transparency, and safety in all automated systems.
Qualifications
- Education: Master’s degree or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 7+ years of experience in software engineering, with at least 3 years in leading AI architecture and machine learning systems.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and experience with distributed computing frameworks (e.g., Apache Spark, Kubernetes).
- Cloud Mastery: Strong experience designing scalable cloud-native architectures on AWS, Azure, or GCP.
- Problem Solving: Exceptional ability to solve complex, ambiguous problems with elegant technical solutions.
- Communication: Ability to articulate complex technical concepts to non-technical stakeholders and executive leadership.