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.