Job Description
We are building the intelligent infrastructure for 2026 and beyond. Nexus Horizon Solutions is seeking a visionary Principal AI & Machine Learning Architect to spearhead our next-generation predictive and generative AI systems. In this role, you will define the technical roadmap that will power our enterprise clients for the next decade, ensuring scalability, security, and ethical AI implementation.
As a key leader in our technology division, you will bridge the gap between theoretical AI research and practical, high-impact software engineering. If you are passionate about solving complex problems and shaping the future of technology, we want to hear from you.
Responsibilities
- Strategic Vision: Define and execute the long-term AI/ML technology roadmap, ensuring alignment with company goals for the 2026 fiscal year and beyond.
- System Architecture: Design scalable, fault-tolerant architectures for high-volume data processing and complex model training pipelines.
- Generative AI Leadership: Lead the integration of LLMs and generative models into core production workflows, optimizing performance and cost.
- Talent Development: Mentor senior engineers and architects, fostering a culture of technical excellence, innovation, and continuous learning.
- Cross-Functional Collaboration: Partner with product leadership, data scientists, and engineering teams to translate business requirements into robust technical solutions.
- MLOps & Governance: Establish best practices for MLOps, CI/CD pipelines, and data governance frameworks.
Qualifications
- Experience: 10+ years in software engineering, with at least 5 years in AI/ML architecture and leadership.
- Technical Stack: Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks (Spark, Ray).
- Cloud Mastery: Proven experience architecting solutions on AWS, GCP, or Azure, with strong knowledge of Kubernetes and Docker.
- Problem Solving: Demonstrated history of leading large-scale ML projects from conception through deployment.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and executives.
- Education: Master’s degree in Computer Science, Machine Learning, or a related technical field is preferred.