About the role

What you’ll do

• Set architecture and technical standards for agentic pricing capabilities
• Deliver production AI agents and ML systems for pricing models
• Oversee model training, serving, monitoring, and governance
• Ensure deterministic, explainable, and auditable pricing outputs
• Design secure distributed systems handling sensitive data
• Apply AI-assisted development tools with validation of AI-generated outputs

What you’ll need

• 10+ years of applied software engineering experience with formal training or certification
• Advanced proficiency in one or more programming languages, including Python
• Proven experience delivering production LLM agents or multi-agent systems with tool use, memory, evaluation, and guardrails
• Experience designing end-to-end ML platforms or MLOps pipelines from training through monitoring and governance
• Experience designing secure distributed systems with identity, authorization, service-to-service trust, and controls for sensitive data
• Practical cloud-native experience with Kubernetes and Amazon EKS, including workload identity and runtime isolation

Original job description