Senior Customer Facing Applied AI Engineer
Core
Senior engineer bridging product engineering and real-world implementation for global enterprise clients, focusing on AI integration, observability, and customer success.
Role type
Senior Customer Facing Applied AI Engineer
Builds
Reusable SDKs, integration patterns (APIs, webhooks), evaluation pipelines, and AI-backed services for enterprise customers.
Domain
Digital Experience / Enterprise AI / Cloud Platforms
Deliverable
production ML models | product features | infrastructure
Required skills
Python, PyTorch, A2A integration patterns (REST/gRPC, webhooks), SQL, cloud platforms (AWS/GCP/Azure), observability, data analysis
Preferred skills
LLM applications (RAG, agents), MLOps/LLMOps concepts, Java/Scala, logging/observability stacks (OpenTelemetry, Prometheus)
Technologies
Python, PyTorch, TensorFlow, JAX, SQL, AWS, GCP, Azure, Git, CI/CD, Docker, OpenTelemetry, Prometheus, Grafana, Datadog
Responsibilities
Implement A2A integration patterns and reusable SDKs for customer workflows; Design and maintain evaluation pipelines with success metrics and guardrails; Instrument AI features with observability, logging, and dashboards; Analyze production logs and metrics to investigate failure modes and model drift; Collaborate with customer-facing teams to translate feedback into prioritized improvements; Guide customers on API and tool usage during workshops and calls.
Seniority
Senior, hands-on IC with customer interaction
