Senior Automation Engineer

ResponsibilitiesThe Sr. Automation Engineer serves as a senior technical authority responsible for designing, building, and governing enterprise-scale intelligent automation systems centered on agentic artificial intelligenceThis role sits at the intersection of advanced AI engineering, security architecture, and organizational strategy — driving the adoption of autonomous agent frameworks across complex, multi-team environmentsThe position demands a practitioner who can operate at both the deep technical layer and the executive advisory level, translating emerging AI capabilities into resilient, production-grade systems that meet the most rigorous security and compliance standardsQualificationsAbility to design resilient AI systems with strong observability, tracing, and understanding of non-deterministic failure modesProven ability to operate cross-functionally and lead without authority across engineering, security, product, and operationsStrong security mindset with expertise in AI threat modeling, prompt injection defense, zero‑trust principles, and secure handling of model inputs/outputsSolid software engineering foundation (Python + compiled language) with experience in microservices, CI/CD, and infrastructure‑as‑codeDeep hands‑on experience building and deploying agentic AI systems, including LLM APIs, RAG, prompt engineering, and multi‑agent architecturesCapable of translating complex technical concepts into clear roadmaps, architecture decisions, and executive‑level communication5+ years of relevant experience across AI/ML systems, software engineering, or cybersecurity, with hands‑on experience building, securing, and operating production‑grade systemsProven track record building production‑grade agentic AI systems that operate reliably at scaleHands‑on experience designing agent orchestration patterns, debugging non‑deterministic failures, and delivering observable, auditable AI pipelines in regulated environmentsStrong applied security expertise, including implementing defenses against prompt injection, jailbreaking, and tool misuse, with experience in red‑teaming or penetration testing AI systemsDemonstrated ability to drive alignment across security, legal, compliance, product, and engineering, turning competing priorities into practical, well‑documented outcomesComfortable presenting architectural trade‑offs and risk decisions to senior leadership in high‑stakes environmentsExperience in financial services or regulated industries, with exposure to AI governance, model risk management, or internal AI policy development preferred#J-18808-Ljbffr