Job Description
Apex Horizon Systems is pioneering the future of digital intelligence. As we look toward the technological landscape of 2026, we are seeking a visionary Next-Gen AI Architect to lead our research and deployment of autonomous agents and Large Language Model (LLM) ecosystems. You will be at the forefront of defining how AI integrates into enterprise workflows, ensuring scalability, security, and ethical alignment.
Join a team of world-class engineers and researchers dedicated to building the infrastructure of tomorrow. If you are passionate about the trajectory of artificial intelligence and want to shape the standards of 2026, we want to hear from you.
Responsibilities
- Architect LLM Solutions: Design and deploy scalable architectures for Generative AI applications, focusing on performance and cost-efficiency.
- Prompt Engineering Strategy: Develop advanced prompting strategies and fine-tuning pipelines for proprietary models to maximize output accuracy.
- System Optimization: Oversee the optimization of inference latency and throughput in high-volume production environments.
- Cross-Functional Leadership: Collaborate with product managers and data scientists to translate business requirements into technical AI roadmaps.
- Ethical AI Governance: Implement guardrails and safety protocols to ensure AI outputs adhere to ethical standards and compliance regulations.
- Trend Forecasting: Continuously research emerging AI paradigms to keep Apex Horizon Systems ahead of the 2026 curve.
Qualifications
- Experience: 7+ years of experience in software engineering, with at least 3 years specifically in Machine Learning or AI architecture.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and experience with vector databases (e.g., Pinecone, Milvus).
- Cloud Mastery: Deep expertise in cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Model Training: Proven track record of fine-tuning LLMs (e.g., GPT-4, Llama 3) and implementing RAG (Retrieval-Augmented Generation) architectures.
- Problem Solving: Exceptional ability to solve complex system design challenges and optimize large-scale data pipelines.
- Communication: Excellent written and verbal communication skills for technical documentation and stakeholder presentations.