Field Chief Technology Officer (Field CTO)

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Field Chief Technology Officer (Field CTO) based in India. This is a senior, highly technical leadership role focused on helping enterprise organizations build infrastructure for next-generation AI and analytics workloads. You will serve as a strategic technology advisor to C-level executives and senior engineering leaders at complex enterprise customers. The role combines hands-on architecture, executive engagement, technical evangelism, and strategic customer support. You will shape solutions spanning generative AI, LLMs, RAG, modern data lakehouses, object storage, and cloud-native infrastructure. You will also influence product strategy by translating customer challenges, market trends, and emerging technologies into actionable insights. Success requires the ability to move seamlessly between deep technical architecture discussions and high-level business conversations. This is an opportunity to become a visible technology thought leader while helping organizations modernize their data foundations for AI. Act as a trusted technical advisor to C-level technology executives and senior engineering leaders at large enterprise organizations. Articulate the strategic value of high-performance object storage in supporting AI readiness, analytics, and data democratization initiatives. Design, validate, and communicate complex enterprise architectures supporting AI/ML pipelines and modern data lakehouse environments. Advise customers on integrating object storage into generative AI, RAG, analytics, and large-scale data workflows. Support enterprise sales and customer success teams on strategic opportunities, technical objections, Proofs of Concept, and complex deployments. Participate in industry conferences, webinars, meetups, and other technical forums as a technology ambassador and thought leader. Develop technical content such as whitepapers, reference architectures, blog posts, and presentations covering AI, object storage, and modern analytics. Monitor emerging AI, analytics, infrastructure, and data architecture trends and translate them into relevant customer and product insights. Serve as a key voice of the customer, communicating market needs, technical challenges, and opportunities to product and engineering teams. Help shape product strategy and roadmap priorities based on enterprise requirements and evolving technology patterns. Requirements: 10+ years of experience in senior technical leadership roles such as Enterprise Architect, Chief Architect, VP of Engineering, Field CTO, or equivalent. Proven experience in customer-facing technical leadership, technical evangelism, or strategic consulting, with the ability to engage both highly technical audiences and C-level executives. Deep architectural knowledge of Generative AI and Large Language Models (LLMs), including Retrieval-Augmented Generation (RAG) architectures and vector databases such as Milvus, Qdrant, or Pinecone. Strong understanding of AI/ML data pipelines and frameworks such as PyTorch, TensorFlow, Ray, and Hugging Face. Knowledge of AI infrastructure bottlenecks, particularly GPU data starvation and the role of high-throughput storage in feeding AI workloads efficiently. Expertise in modern open table formats, including Apache Iceberg, Apache Hudi, and Delta Lake, and their integration with object storage. Strong knowledge of modern query engines and compute frameworks such as Trino, Presto, Apache Spark, Flink, or StarRocks. Solid understanding of the evolution from traditional data warehouses toward modern Data Lakehouse architectures. Strong command of Kubernetes, containers, and cloud-native orchestration technologies. Deep understanding of the AWS S3 API, RESTful APIs, and distributed systems architecture. Exceptional communication, presentation, advisory, and relationship-building skills. Ability to translate complex techn