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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Strategy Lead - Project 2026

Nexus Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are seeking a visionary Senior AI Strategy Lead to spearhead our 'Vision 2026' initiative. In this pivotal role, you will define the architectural roadmap for our next-generation generative intelligence systems and ensure our technology aligns with future market demands. You will bridge the gap between cutting-edge research and scalable enterprise solutions.

Why join us?

  • Work on groundbreaking technology that shapes the future.
  • Competitive equity package and performance bonuses.
  • Flexible remote-first policy with a hub in the heart of San Francisco.

If you are a leader ready to define the standards for 2026, we want to hear from you.

Responsibilities

  • Lead the strategic direction of the 'Vision 2026' AI product roadmap, ensuring alignment with business goals.
  • Collaborate with cross-functional teams (Engineering, Product, Ethics) to design scalable AI architectures.
  • Establish and enforce best practices for AI safety, bias mitigation, and compliance.
  • Present complex technical concepts to executive stakeholders to drive investment and adoption.
  • Identify emerging technologies and trends to keep Nexus Dynamics at the forefront of the industry.
  • Oversee the integration of LLMs into legacy enterprise systems.

Qualifications

  • 10+ years of experience in AI, Machine Learning, or Software Engineering, with at least 3 years in a strategic leadership role.
  • Deep understanding of Deep Learning, Natural Language Processing (NLP), and Generative AI models.
  • Proven track record of successfully delivering complex AI products from concept to market.
  • Strong expertise in AI ethics, data privacy, and regulatory compliance (GDPR/CCPA).
  • Excellent communication skills with the ability to translate technical jargon into business value.
  • Master's degree or PhD in Computer Science, Engineering, or a related quantitative field.

Required Skills

Artificial Intelligence Machine Learning Strategy Leadership NLP Deep Learning Agile Ethics Python TensorFlow Generative AI

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