Job
Core
Bridge data science experimentation and enterprise-grade production systems by transforming AI models into scalable, reliable, and well-governed solutions.
Role type
Senior AI Engineer (MLOps & Production Deployment)
Builds
Scalable AI workflows, orchestration layers, and production-grade deployment pipelines
Domain
Enterprise AI, MLOps, Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, MLOps, CI/CD for ML, Prompt Engineering, Multi-step workflow orchestration, AI observability, Cloud cost optimization
Preferred skills
Experience with actuaries, Model validation, Versioning and release management
Technologies
Python, AI libraries, Cloud environments
Responsibilities
Design and implement AI workflows combining models, data, and business logic; Develop and maintain prompt engineering strategies; Implement orchestration layers for multi-step reasoning; Integrate AI capabilities into enterprise systems and APIs; Apply guardrails for safe and compliant AI behavior; Build and maintain production-grade AI deployment pipelines; Implement observability for usage, performance, and drift monitoring; Collaborate with data scientists and business stakeholders to validate model outputs
Seniority
Senior, hands-on IC
