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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect (2026 Roadmap)

Nexus Future Systems
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

We are on a mission to define the technological landscape of 2026 and beyond. Nexus Future Systems is seeking a visionary Senior AI Architect to lead our next-generation Generative AI initiatives. If you are passionate about building scalable, ethical, and high-impact AI systems that will stand the test of time, we want to meet you.


In this role, you won't just maintain existing systems; you will architect the future. You will collaborate with cross-functional teams to integrate cutting-edge Large Language Models (LLMs) into our core products, ensuring performance, security, and scalability for the decade ahead.


Why join us?

  • Work on projects that define the AI standards of 2026.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with a San Francisco hub.

Ready to shape the future? Apply today.

Responsibilities

  • Architect Future-Proof AI Solutions: Design and implement robust AI architectures capable of scaling to meet the demands of the 2026 technological landscape.
  • Lead GenAI Integration: Spearhead the integration of Generative AI models into existing workflows to drive innovation and efficiency.
  • Optimize Model Performance: Continuously monitor, evaluate, and optimize LLM performance using advanced fine-tuning and prompt engineering techniques.
  • Ensure Ethical AI: Implement governance frameworks and safety protocols to ensure AI outputs are fair, transparent, and unbiased.
  • Technical Strategy: Define the technical roadmap for AI initiatives, collaborating with stakeholders to align business goals with technical capabilities.
  • Code & Infrastructure: Write clean, scalable code and manage cloud infrastructure (AWS/GCP) to support high-throughput AI workloads.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Machine Learning, or a related field (or equivalent professional experience).
  • Experience: 8+ years of experience in software engineering with a strong focus on AI/ML.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX. Deep understanding of MLOps and cloud architecture.
  • 2026 Vision: Demonstrated experience in planning for long-term tech trends and adapting architectures for future-proofing.
  • Communication: Exceptional ability to translate complex technical concepts for non-technical stakeholders.
  • Problem Solving: Proven track record of solving complex engineering challenges in high-pressure environments.

Required Skills

Python PyTorch TensorFlow MLOps AWS Generative AI Large Language Models Machine Learning Architecture Cloud Computing Deep Learning

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

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