Job Description
We are on a mission to redefine the technological horizon by 2026. Nexus Horizon Systems is seeking a visionary Strategic AI Architect to lead our cutting-edge research and development initiatives. You will be at the forefront of designing scalable, ethical, and transformative artificial intelligence systems that power the next generation of enterprise solutions. If you are passionate about the future of tech and ready to architect the future, we want to hear from you.
Why Join Us?
- Future-Ready Environment: Work in a forward-thinking organization focused on the 2026 roadmap and beyond.
- Competitive Compensation: Base salary of $180,000 - $250,000 plus equity.
- Top-Tier Talent: Collaborate with the brightest minds in AI and software engineering.
Responsibilities
- Define the 2026 Vision: Architect and execute a comprehensive long-term AI strategy that aligns with company goals.
- System Design: Design robust, secure, and scalable AI/ML infrastructure using cloud-native technologies.
- Lead Innovation: Spearhead research into emerging AI trends (e.g., Generative AI, LLMs) to maintain a competitive edge.
- Technical Leadership: Mentor a team of senior engineers and data scientists, fostering a culture of continuous improvement.
- Stakeholder Management: Translate complex technical concepts into actionable insights for executive stakeholders and product teams.
- Compliance & Ethics: Ensure all AI systems adhere to strict ethical guidelines and data privacy regulations (GDPR/CCPA).
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 8+ years of experience in software architecture, with at least 4 years specifically focused on AI/ML systems.
- Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, and cloud platforms (AWS, Azure, or GCP).
- Leadership: Proven track record of leading high-performance engineering teams through complex transitions.
- Communication: Exceptional ability to communicate complex technical strategies to non-technical audiences.
- Problem Solving: Demonstrated ability to solve ambiguous problems and drive projects from conception to deployment.