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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: 2026 Roadmap

Apex Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

The Opportunity:
We are seeking a visionary Senior AI Architect to lead our cutting-edge research division and define our technology roadmap for 2026 and beyond. You will be at the forefront of Generative AI, working on scalable solutions that transform how our enterprise clients interact with data.

Why Join Us?
At Apex Innovations, we don't just predict the future; we engineer it. You will have the autonomy to build proprietary models, influence strategic direction, and work alongside world-class engineers in a fast-paced, innovative environment.

Responsibilities

  • Architectural Leadership: Design and implement scalable, fault-tolerant AI systems that support our 2026 strategic goals.
  • Model Development: Spearhead the research and deployment of advanced Large Language Models (LLMs) and computer vision algorithms.
  • Performance Optimization: Engineer high-performance inference pipelines and reduce latency for real-time AI applications.
  • Team Mentorship: Guide a team of junior data scientists and ML engineers, fostering a culture of continuous learning and technical excellence.
  • Strategic Roadmapping: Collaborate with C-suite executives to translate business requirements into technical AI roadmaps.
  • Compliance & Ethics: Ensure all AI systems adhere to ethical guidelines, data privacy laws, and industry standards.
  • Technical Pioneering: Stay ahead of industry trends (e.g., Quantum AI, Edge Computing) and evaluate their applicability to our product suite.

Qualifications

  • Education: Master’s degree in Computer Science, Mathematics, or a related technical field; PhD preferred.
  • Experience: 7+ years of experience in software engineering and machine learning, with at least 3 years in a senior architect role.
  • Technical Skills: Deep proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Domain Knowledge: Extensive experience with NLP, LLM fine-tuning (LoRA, PEFT), and MLOps workflows.
  • System Design: Strong background in distributed systems, cloud architecture (AWS/GCP/Azure), and Kubernetes.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.
  • Problem Solving: Proven track record of solving ambiguous problems with innovative technical solutions.

Required Skills

Python PyTorch TensorFlow NLP LLMs MLOps Kubernetes AWS System Design Machine Learning Generative AI

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