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AI & Automation Lead (2026 Vision)

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Join Nexus Labs at the forefront of 2026's technological frontier! We're seeking a visionary AI & Automation Lead to architect the next generation of intelligent systems that will redefine industries by 2026. This role blends cutting-edge machine learning with seamless human-AI collaboration to build solutions that anticipate future needs. You'll lead cross-functional teams in developing adaptive automation frameworks, predictive analytics engines, and ethical AI governance protocols that position us as industry pioneers.

At Nexus Labs, we thrive on innovation and impact. Our culture celebrates bold thinking, rapid experimentation, and sustainable growth. You'll collaborate with world-class researchers, engineers, and futurists in our state-of-the-art San Francisco hub, where every line of code contributes to shaping tomorrow's reality.

Responsibilities

  • Design and implement scalable AI/ML pipelines for autonomous systems by 2026
  • Lead development of predictive automation frameworks with 99.9% accuracy
  • Architect ethical AI governance frameworks aligned with 2026 regulatory standards
  • Coordinate cross-functional teams across R&D, product, and compliance
  • Drive innovation in human-AI collaboration interfaces
  • Establish KPIs for AI system performance and continuous improvement
  • Present strategic roadmaps to C-suite and external stakeholders

Qualifications

  • 8+ years in AI/ML development with 3+ years in leadership roles
  • Expertise in Python, TensorFlow/PyTorch, and cloud-native deployments
  • Proven track record building production-grade autonomous systems
  • Strong background in AI ethics and regulatory compliance frameworks
  • Experience with predictive analytics and real-time decisioning engines
  • Advanced degree in Computer Science, AI, or related field
  • Published research in top-tier AI conferences or patents
  • Fluency in 2026 tech stack (quantum computing integration experience preferred)

Required Skills

AI/ML Automation Machine Learning Python TensorFlow Cloud Computing Predictive Analytics AI Ethics Leadership Strategic Planning

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