Job Description
We are seeking a visionary Senior AI Architect to lead our research division into the year 2026 and beyond. At Apex Horizon Technologies, we aren't just building software; we are architecting the cognitive infrastructure of tomorrow. If you are passionate about pushing the boundaries of Generative AI, Large Language Models, and autonomous systems, this is your stage.
In this pivotal role, you will define the architectural blueprints for our next-generation AI agents, ensuring scalability, security, and ethical alignment. You will work closely with a world-class team of data scientists and engineers to turn theoretical breakthroughs into tangible products that will define the future of human-machine interaction.
Responsibilities
- Architect Next-Gen AI Systems: Design and implement scalable, high-performance machine learning pipelines for Generative AI and Large Language Models (LLMs).
- Lead Research & Development: Spearhead experimental projects exploring novel neural architectures and reinforcement learning paradigms.
- Technical Strategy: Define the long-term technical roadmap for AI integration, ensuring alignment with business goals and future industry trends.
- Mentorship: Cultivate a culture of innovation by mentoring junior engineers and conducting advanced code reviews.
- Ethical AI Compliance: Implement governance frameworks to ensure AI outputs are fair, unbiased, and safe for global deployment.
- Cross-Functional Collaboration: Partner with product managers, designers, and stakeholders to translate complex technical concepts into user-centric solutions.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Experience: 5+ years of professional experience in software engineering and deep learning, with at least 2 years in a senior architectural or lead role.
- Technical Proficiency: Expert knowledge of Python, PyTorch, TensorFlow, or JAX.
- Domain Knowledge: Proven track record in NLP, Computer Vision, or Reinforcement Learning.
- Leadership: Strong track record of leading engineering teams and managing complex technical projects.
- Communication: Exceptional ability to communicate complex technical ideas to non-technical stakeholders.