The role involves designing, implementing, and scaling LLM-powered systems and agent-based solutions within an enterprise environment. The engineer will build multi-agent orchestration, workflow automation, and robust guardrails to ensure safe and compliant AI behavior. Responsibilities include integrating AI solutions with enterprise APIs and data platforms while managing real-time and asynchronous AI pipelines. The position requires partnering with risk, compliance, and model governance teams to support validation and approval processes. Additionally, the role entails leading end-to-end delivery of AI solutions from concept to production and providing technical leadership to engineering teams.

The role requires a minimum of 6 years of overall engineering experience, including at least 3 years specifically in AI/ML engineering. Candidates must possess strong proficiency in Python and backend development, along with hands-on experience in LLM frameworks, agent orchestration, and production-grade enterprise systems. A bachelor’s degree in Computer Science, Engineering, or a related field is required. Furthermore, the candidate should have a strong understanding of API integration, microservices, and experience working within regulated industries.