Job Description
Are you ready to architect the future?
Nexus Core Systems is seeking a visionary Senior AI Architect to lead our 2026 technology roadmap. In this pivotal role, you won't just implement existing solutions; you will design the infrastructure that will power the next generation of intelligent systems. We are looking for a forward-thinker who thrives on ambiguity and is passionate about building scalable, sustainable AI ecosystems for the year 2026 and beyond.
As a key player in our innovation hub, you will bridge the gap between theoretical AI potential and practical, high-performance engineering. Join a team that values audacity, technical excellence, and a passion for shaping the digital horizon.
Why Join Us?
- Competitive compensation package and equity options.
- Work on mission-critical projects that define the future of tech.
- Flexible remote-first culture with quarterly in-person innovation sprints.
- Access to cutting-edge hardware and cloud resources.
Key Responsibilities:
Responsibilities
- Architect and implement scalable AI infrastructure designed for 2026 readiness and beyond.
- Lead the design of next-generation machine learning pipelines and neural network architectures.
- Collaborate with cross-functional teams to translate business goals into technical roadmaps.
- Optimize existing systems for quantum-ready scalability and energy efficiency.
- Mentor junior engineers and establish best practices for AI deployment and governance.
- Stay ahead of emerging trends in AGI, edge computing, and synthetic data.
- Drive the integration of proprietary data lakes into real-time decision engines.
Qualifications
- 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
- Master’s degree in Computer Science, Mathematics, or a related technical field (PhD preferred).
- Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks.
- Proven track record of delivering large-scale AI solutions in production environments.
- Strong understanding of cloud platforms (AWS, GCP, Azure) and containerization (Kubernetes, Docker).
- Excellent communication skills, capable of articulating complex technical concepts to non-technical stakeholders.
- Experience with ethical AI principles and bias mitigation strategies.