Job Description
Shape the Technological Landscape of 2026 and Beyond
Are you ready to pioneer the next generation of Artificial Intelligence? Vertex Future Systems is seeking a visionary Senior AI Architect to lead our cutting-edge Generative Intelligence initiatives. We are building the foundational models that will define the digital experience in 2026 and beyond. If you are passionate about Large Language Models (LLMs), ethical AI, and scalable architecture, we want to meet you.
Why Join Us?
- Future-Proof Technology: Work on the bleeding edge of AI development before it hits the mainstream.
- Impactful Work: Your code will power the next generation of intelligent applications.
- Competitive Compensation: $180k - $280k plus equity and comprehensive benefits.
Responsibilities
- Design and architect scalable, high-performance Generative AI pipelines using modern frameworks.
- Lead the research and implementation of Large Language Model (LLM) fine-tuning and RAG architectures.
- Optimize model inference latency and resource utilization for production environments.
- Collaborate cross-functionally with product managers and engineers to translate business requirements into technical AI solutions.
- Ensure data privacy, security, and ethical compliance in all AI model training and deployment.
- Mentor junior engineers and foster a culture of innovation and continuous learning.
Qualifications
- Master’s or PhD in Computer Science, Machine Learning, or a related technical field (5+ years of relevant industry experience).
- Deep expertise in Python, PyTorch, TensorFlow, and Hugging Face Transformers.
- Proven track record of deploying large-scale ML models to production (AWS, GCP, or Azure).
- Strong understanding of NLP, neural networks, and deep learning principles.
- Experience with MLOps tools, model versioning, and CI/CD pipelines for AI.
- Excellent problem-solving skills and ability to thrive in a fast-paced, ambiguous environment.
Ready to Build the Future?
Apply today to become a key architect in our mission to define the year 2026.
Responsibilities
- Design and architect scalable, high-performance Generative AI pipelines using modern frameworks.
- Lead the research and implementation of Large Language Model (LLM) fine-tuning and RAG architectures.
- Optimize model inference latency and resource utilization for production environments.
- Collaborate cross-functionally with product managers and engineers to translate business requirements into technical AI solutions.
- Ensure data privacy, security, and ethical compliance in all AI model training and deployment.
- Mentor junior engineers and foster a culture of innovation and continuous learning.
Qualifications
- Master’s or PhD in Computer Science, Machine Learning, or a related technical field (5+ years of relevant industry experience).
- Deep expertise in Python, PyTorch, TensorFlow, and Hugging Face Transformers.
- Proven track record of deploying large-scale ML models to production (AWS, GCP, or Azure).
- Strong understanding of NLP, neural networks, and deep learning principles.
- Experience with MLOps tools, model versioning, and CI/CD pipelines for AI.
- Excellent problem-solving skills and ability to thrive in a fast-paced, ambiguous environment.