As a Senior Associate, Applied AI/ML Engineer in the Applied AI/ML team, you will help customers build, deploy, and operate AI/ML models and agentic systems in a safe, scalable way.
Job responsibilities
1. Assist customers in building and deploying models and agents across multiple model/agent frameworks (selection, integration patterns, troubleshooting, best practices).
2. Implement and operate AI/ML observability: experimentation management, tracing, and monitoring to improve quality and reliability of model/agent behavior.
3. Build and optimize large-scale data processing pipelines and feature workflows using distributed compute (., Ray, Spark, or similar).
4. Develop AI/ML systems using coding assistants to improve engineering efficiency while maintaining code quality standards.
5. Ensure secure deployment and access for AI/ML services (., secure-by-design practices, access controls, and environment separation), aligned to firm guidance for safe/responsible AI use.
6. Produce clear technical documentation and runbooks to enable supportability and repeatable delivery.
Required qualifications, capabilities, and skills
7. Hands-on experience supporting customers/teams delivering AI/ML products (model + agent workflows).
8. Experience with observability, evaluation/experimentation, and tracing platforms for AI/ML or LLM/agent systems.
9. Experience with distributed data processing at scale (Ray, Spark, or similar).
10. Strong software engineering skills (clean code, testing, CI/CD concepts, API/service development).
11. Strong communication skills and ability to translate requirements into practical engineering outcomes.
Preferred qualifications
12. Experience integrating AI/ML into production systems (monitoring, incident response, change management).
13. Familiarity with responsible AI/ML governance expectations and lifecycle controls