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Information Technology 🏢 Full Time ⭐️ Verified

2026 Generative AI Strategy Lead

FutureForge AI
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
Live Update
3 Juni 2026
Deadline
3 Jun 2027

Job Description

Are you ready to shape the future of enterprise technology? At FutureForge AI, we are looking for a visionary 2026 Generative AI Strategy Lead to spearhead our next-generation artificial intelligence initiatives. As we approach 2026, the AI landscape is evolving rapidly, and we need a forward-thinking leader to ensure our infrastructure, products, and teams are ahead of the curve. You will be the driving force behind our AI roadmap, bridging the gap between cutting-edge research and scalable, high-impact business solutions.

If you are passionate about Large Language Models (LLMs), agentic workflows, and building the tech ecosystems of tomorrow, we want you on our team in the heart of San Francisco.

Responsibilities

  • Develop and execute a comprehensive AI strategy aligned with our 2026 business objectives and technological capabilities.
  • Lead the end-to-end architecture and deployment of enterprise-grade Generative AI solutions.
  • Collaborate cross-functionally with engineering, product, and data teams to integrate AI models into core platforms.
  • Identify emerging AI trends and evaluate new frameworks to maintain our competitive edge.
  • Establish best practices for AI governance, model evaluation, and responsible AI deployment.
  • Mentor and scale a high-performing team of AI engineers and data scientists.
  • Present strategic insights and project milestones to executive stakeholders and board members.

Qualifications

  • 5+ years of experience in AI/ML engineering, product management, or strategic technology roles.
  • Proven track record of successfully scaling Generative AI or LLM-based products from conception to production.
  • Deep understanding of modern AI architectures, including transformers, RAG systems, and agentic frameworks.
  • Strong programming background in Python and experience with cloud platforms (AWS, GCP, or Azure).
  • Exceptional leadership and communication skills, with the ability to translate complex technical concepts to non-technical audiences.
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.

Required Skills

Generative AI Strategic Planning LLM Architecture Cloud Infrastructure Team Leadership Product Management RAG Systems

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