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Technical Lead - AI, Digital, & Customer Experience (San Francisco)
Technical Lead - AI, Digital, & Customer Experience (San Francisco)Dexian • San Francisco, CA, United States
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Technical Lead - AI, Digital, & Customer Experience (San Francisco)

Technical Lead - AI, Digital, & Customer Experience (San Francisco)

Dexian • San Francisco, CA, United States
15 hours ago
Job type
  • Full-time
Job description

Dexian has been engaged by a major San Francisco corporation to identify a full-time, staff Technical Lead - AI, Digital and Customer Experience, who will play a vital role in designing and delivering transformative, customer-facing digital experiences that are innovative and essential.

Please be advised that here are no employer work sponsorships offered at this time and that this is not a subcontracting arrangement.

Scope of Responsibilities :

  • Lead the architecture and delivery of engaging, scalable digital experiences and software applications that directly impact customer satisfaction and loyalty.
  • Drive cross-functional collaboration with developers, designers, product owners, and stakeholders to ensure seamless execution of digital features across web platforms.
  • Champion the integration of third-party vendor products, AI / ML frameworks, and custom-built solutions in a high-availability environment that supports critical business functions.
  • Shape and refine technical direction by evaluating AI-driven innovations, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and information retrieval systems, making informed decisions that blend creativity with practicality.
  • Maintain a hands-on approach to architecture, design, and technical leadership, ensuring the right mix of velocity, quality, and long-term sustainability.
  • Act as a bridge between business vision and engineering execution, translating goals into scalable, secure, and maintainable architectures.
  • Promote the adoption of AI-powered development tools, MLOps / LLMOps practices, and scalable deployment architectures to improve developer productivity and accelerate innovation.

Requirements :

  • Bachelors degree in Computer Science, Management Information Systems, or a related field.
  • 5+ years of experience in a technical leadership role, guiding cross-functional development teams.
  • Proven ability to lead complex technical projects and mentor engineering teams in fast-paced, dynamic environments.
  • Deep expertise in modern application architecture, microservices, and cloud platforms (AWS, GCP, Azure).
  • Practical experience with AI / ML technologies, with strong judgment on when to apply emerging solutions versus optimizing established systems.
  • Exceptional communication and influence skills, with the ability to align technical strategy with business goals and engage stakeholders at all levels.
  • Experience in setting, tracking, and delivering against OKRs (Objectives and Key Results) to ensure alignment with strategic business priorities and measurable outcomes.
  • Hands-on experience with solution architecture, system design, and enterprise integration patterns.
  • Proficiency in HTTP APIs, Secured RESTful services, and systems integration especially on AWS.
  • Experience working with authentication and authorization protocols such as OAuth 2.0 and SAML.
  • Familiarity with Snowflake, data modeling, and integration best practices.
  • Strong technical communication skills and the ability to collaborate effectively across multi-disciplinary and global teams.
  • Proven success in delivering technology solutions using Agile methodologies in distributed environments, including coordination with offshore / onshore developers, vendors, and QA teams.
  • Preferred :

  • A proactive, make-it-happen mindset with a strong sense of ownership and accountability for results.
  • Proven expertise in Python for AI / ML workflows, leveraging frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Hands-on experience deploying and scaling LLM-powered solutions (e.g., OpenAI, Hugging Face, Azure OpenAI) in production environments.
  • Knowledge of Retrieval-Augmented Generation (RAG) architecture and vector database integrations (e.g., Pinecone, FAISS, Milvus, Amazon OpenSearch).
  • Experience in scaling AI deployments using cloud-native services (AWS SageMaker, Azure ML, Dataiku) and applying MLOps / LLMOps practices for lifecycle management.
  • A demonstrated passion for creating AI-enhanced, customer-centric digital platforms.
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    Customer Experience Lead • San Francisco, CA, United States

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