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Senior AI Architect - Generative AI & Agentic Systems

Apex Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
31 Mei 2026
Deadline
31 Mei 2027

Job Description

Are you ready to shape the technological landscape of tomorrow? Apex Innovations is seeking a visionary Senior AI Architect to lead the development of next-generation Generative AI and Agentic Systems. As we prepare for the massive technological shifts expected in 2026, you will be at the forefront of building autonomous agents that redefine human-computer interaction.

In this pivotal role, you will not just write code; you will architect the future. You will bridge the gap between theoretical research and production-grade engineering, ensuring our AI systems are scalable, secure, and ethically sound.

Responsibilities

  • Design and implement scalable AI architectures focused on Agentic workflows and LLM integration for the 2026 roadmap.
  • Lead the technical strategy for transitioning from traditional ML models to advanced Generative AI frameworks.
  • Collaborate with cross-functional teams to integrate AI solutions into core product ecosystems.
  • Optimize model inference latency and improve cost-efficiency in large-scale deployments.
  • Establish best practices for AI governance, data privacy, and ethical AI usage.
  • Conduct research on emerging trends in AI, including Multimodal models and AutoML.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 7+ years of experience in software engineering and machine learning.
  • Deep expertise in Python, PyTorch, TensorFlow, and Hugging Face Transformers.
  • Proven track record of deploying large-scale LLM applications (e.g., GPT-4, Claude, Llama) in production environments.
  • Strong understanding of vector databases, RAG (Retrieval-Augmented Generation), and fine-tuning methodologies.
  • Experience with cloud platforms (AWS, GCP, or Azure) and Kubernetes.
  • Exceptional problem-solving skills and the ability to thrive in a fast-paced, startup environment.

Required Skills

Python Machine Learning Deep Learning NLP Generative AI LLM PyTorch TensorFlow AWS Kubernetes System Design

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