Job Description
Are you ready to architect the future of intelligent systems? Nexus Core Systems is seeking a visionary Lead AI Architect to spearhead the 2026 Horizon Initiative, a groundbreaking project dedicated to developing sustainable, scalable, and ethically aligned Artificial Intelligence.
In this role, you will be at the forefront of technological innovation, designing the infrastructure that will power the next generation of enterprise solutions. We are looking for a strategic thinker who combines deep technical expertise with the ability to inspire a high-performance engineering team.
Why Join the 2026 Horizon Initiative?
- Shape the roadmap for next-generation AI technologies.
- Work with state-of-the-art tools and frameworks.
- Competitive compensation and equity package.
- Flexible work environment in the heart of Austin.
Responsibilities
- Design and implement the core architectural framework for the 2026 AI ecosystem, ensuring high availability and fault tolerance.
- Lead a cross-functional team of data scientists, ML engineers, and software developers to deliver cutting-edge solutions.
- Define technical standards, best practices, and methodologies for scalable machine learning pipelines.
- Collaborate with product leadership to translate business requirements into robust technical roadmaps.
- Optimize existing infrastructure for high-performance computing and edge deployment scenarios.
- Conduct code reviews and architectural reviews to maintain code quality and system integrity.
- Stay abreast of the latest advancements in AI, LLMs, and distributed systems.
Qualifications
- 10+ years of progressive experience in software engineering, with at least 5 years specifically in AI and Machine Learning architecture.
- Deep expertise in Python, TensorFlow, PyTorch, or similar deep learning frameworks.
- Proven track record of designing and deploying large-scale AI models in production environments.
- Strong understanding of cloud-native architectures (AWS, Azure, or GCP).
- Experience with MLOps, data pipelines, and CI/CD practices.
- Excellent verbal and written communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
- Master’s degree in Computer Science, Engineering, or a related field is preferred.