Job Description
Are you ready to architect the future of artificial intelligence? Nexus Horizon AI is seeking a visionary Senior AI Architect to lead our strategic roadmap toward 2026. In this pivotal role, you will define the technical vision for our next-generation Generative AI platforms, ensuring our infrastructure is scalable, secure, and at the forefront of innovation.
We are looking for a thought leader who not only understands the intricacies of Deep Learning but also possesses the strategic foresight to anticipate market trends. You will be instrumental in bridging the gap between theoretical research and practical, large-scale deployment, working alongside top-tier engineers and product strategists.
Why join us?
We offer a competitive package, remote-first flexibility, and the opportunity to build the core technology that will define the AI landscape in 2026 and beyond.
Responsibilities
- Define and execute the technical roadmap for AI infrastructure with a specific focus on 2026 scalability goals.
- Lead the architecture design for Large Language Models (LLMs) and Generative AI pipelines.
- Collaborate with cross-functional teams to integrate AI solutions into existing product ecosystems.
- Mentor and guide a team of machine learning engineers and data scientists.
- Ensure data security, privacy compliance, and ethical AI practices across all deployments.
- Research and evaluate emerging AI technologies (e.g., Diffusion models, Transformers) to maintain a competitive edge.
- Drive technical decision-making processes, including cloud architecture and hardware acceleration strategies.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
- 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
- Deep expertise in Python, PyTorch, TensorFlow, and modern MLOps tools.
- Proven experience designing distributed systems and scalable cloud infrastructure (AWS, GCP, or Azure).
- Strong background in Natural Language Processing (NLP) and Computer Vision.
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.
- Experience with ethical AI frameworks and bias mitigation strategies.