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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect – 2026 Strategic Initiative

Nexus Future Systems
San Francisco
Estimated Salary
USD 185.000 – USD 260.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

We are at the precipice of a technological revolution, and Nexus Future Systems is leading the charge into the future. We are looking for a visionary Senior AI Architect to spearhead our 2026 Strategic Initiative. In this role, you will define the architectural blueprint for our next-generation generative AI and autonomous agent ecosystems. You won't just be maintaining systems; you will be architecting the infrastructure that powers the enterprise landscape of 2026.

Join us to build the future, shape the roadmap, and solve the world's most complex data challenges.

Responsibilities

  • Lead the 2026 Roadmap: Define and execute the technical vision for our AI infrastructure, ensuring scalability and resilience for upcoming product releases.
  • Architect Scalable Solutions: Design and implement robust, distributed machine learning pipelines and deep learning frameworks capable of processing petabytes of data.
  • Technical Leadership: Mentor a high-performing team of AI engineers and data scientists, fostering a culture of innovation and continuous improvement.
  • Model Optimization: Drive research into cutting-edge algorithms (transformers, GANs) to enhance model accuracy and reduce inference latency.
  • Collaboration: Partner with product managers and stakeholders to translate business requirements into technical specifications.
  • Security & Compliance: Ensure all AI models and data architectures adhere to strict security protocols and regulatory standards.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 10+ years of professional experience in software engineering, with at least 5 years specifically in AI/ML architecture.
  • Technical Stack: Deep expertise in Python, TensorFlow, PyTorch, and experience with large language model (LLM) deployment.
  • Cloud Mastery: Proficiency in cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Strategic Mindset: Proven ability to lead cross-functional teams and manage large-scale technical projects.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning Cloud Architecture Kubernetes Docker AWS GCP NLP Generative AI Leadership

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