AI-driven Tech Lead role focused on architecture and technology advancement, serving as a core member in launching Exa Frontier Edge, a new AI-native SI company.
About this role
This cloud infrastructure engineer sits in the AI Platform business, supporting enterprise AI project delivery across industries. Working with AI consultants, AI and software engineers, and FDEs, the role builds secure foundations for customer solutions and helps standardize infrastructure across projects. Work includes defining non-functional requirements and designing, building and operating cloud environments on AWS, Google Cloud or Azure, balancing availability, security, performance and cost. The engineer selects architectures and tools, develops reusable multi-cloud patterns with Terraform-based infrastructure as code, and supports security reviews, compliance and access controls. Responsibilities also include CI/CD and automated testing, data platforms such as BigQuery and Snowflake, and LLM evaluation and observability. Some projects may extend into implementing LLM API integrations, AI agents or RAG applications. Applicants need experience designing, building and operating infrastructure on at least one public cloud—AWS, Google Cloud or Azure—with no minimum years specified, plus experience building and operating systems using container technologies such as Docker.
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