Job Description
We are seeking a visionary Senior AI Architect to define the technological roadmap for 2026 and beyond. At Apex Horizon Systems, we are building the infrastructure for the next generation of intelligent applications, leveraging Large Language Models (LLMs) and autonomous agents.
As a key player in our team, you will bridge the gap between theoretical AI research and production-grade software engineering. You will design scalable, secure, and high-performance AI systems that solve complex real-world problems. If you are passionate about the future of technology and want to lead the charge in the AI revolution, we want to hear from you.
Responsibilities
- Architect Scalable AI Systems: Design and implement robust, scalable architectures for Generative AI and Machine Learning workloads using cloud-native technologies.
- Model Optimization: Fine-tune and optimize pre-trained models (e.g., GPT, Llama) to reduce latency and improve inference accuracy for production environments.
- Lead Technical Strategy: Define the technical vision for AI integration, ensuring alignment with business goals and industry best practices.
- Collaborate Across Disciplines: Work closely with product managers, data scientists, and software engineers to translate business requirements into technical specifications.
- MLOps Implementation: Establish and maintain CI/CD pipelines for machine learning models, automating training, evaluation, and deployment processes.
- Stay Ahead of Trends: Continuously research emerging AI technologies, including multimodal AI and agentic workflows, to keep our technology stack cutting-edge.
Qualifications
- Experience: 5+ years of experience in software engineering, with at least 3 years specifically in AI/ML architecture or Generative AI.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and modern deep learning frameworks.
- Cloud Expertise: Deep understanding of cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
- Problem Solving: Strong analytical skills with a proven track record of solving complex engineering challenges.
- Communication: Excellent verbal and written communication skills, capable of explaining complex technical concepts to non-technical stakeholders.