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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: 2026 Roadmap

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

Shape the Future with Nexus Future Systems

We are seeking a visionary Senior AI Architect to lead our 2026 technology roadmap. In this pivotal role, you will define the architectural blueprint for our next-generation AI infrastructure, ensuring scalability, security, and performance as we scale into the future.

At Nexus Future Systems, we don't just build software; we engineer the building blocks of tomorrow. You will work at the intersection of deep learning, cloud-native architecture, and business strategy. If you are passionate about pushing the boundaries of what is possible in artificial intelligence and want to leave a lasting legacy, this is your opportunity.

Why Join Us?

  • Work with cutting-edge AI and machine learning technologies.
  • Competitive compensation package and equity options.
  • Flexible remote-first culture with a focus on high-impact work.

Responsibilities

  • Define and execute the technical strategy for the 2026 AI roadmap, ensuring alignment with business goals.
  • Design and implement scalable, distributed AI systems and machine learning pipelines.
  • Lead architectural reviews and mentor a team of talented engineers and data scientists.
  • Optimize existing models for latency, throughput, and cost-efficiency.
  • Collaborate with cross-functional teams (Product, Engineering, Security) to integrate AI solutions seamlessly.
  • Stay ahead of industry trends in Generative AI, LLMs, and Edge Computing.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Deep expertise in Python, PyTorch, TensorFlow, or equivalent frameworks.
  • Proven experience designing large-scale distributed systems on AWS, GCP, or Azure.
  • Strong understanding of MLOps, data engineering, and model deployment strategies.
  • Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders.
  • Master’s degree or PhD in Computer Science, AI, or a related field is a plus.

Required Skills

Python Machine Learning PyTorch TensorFlow System Design MLOps AWS GCP Kubernetes Docker Scalable Architecture

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