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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect - Future Tech

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

We are seeking a visionary Senior AI Architect to lead our initiatives in building the technological landscape of 2026. At Nexus Future Labs, we don't just build software; we engineer the future. You will be at the forefront of integrating cutting-edge Artificial Intelligence, Autonomous Agents, and scalable cloud infrastructure to solve complex global challenges.

As a key member of our elite technical team, you will define the architectural standards for our next-generation products and mentor the brightest minds in the industry.

Responsibilities

  • Architect and implement scalable, high-performance AI systems designed for the future.
  • Lead the research and integration of emerging technologies (e.g., LLMs, Generative AI) for the 2026 roadmap.
  • Collaborate with cross-functional teams to translate business goals into technical blueprints.
  • Ensure system reliability, security, and scalability across distributed environments.
  • Mentor junior developers and engineers, fostering a culture of continuous learning and innovation.
  • Conduct code reviews and technical architecture assessments to maintain high engineering standards.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, or similar ML frameworks.
  • Strong proficiency in cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Proven track record of designing large-scale distributed systems.
  • Experience with MLOps and data pipeline management.
  • Excellent communication skills, capable of bridging the gap between technical teams and executive stakeholders.
  • Passion for the future of technology and a forward-thinking mindset.

Required Skills

Python Machine Learning Cloud Architecture AI Strategy Kubernetes TensorFlow System Design MLOps Distributed Systems

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