About this role
Senior Agentic AI Security Engineer
Role Overview
- The Sr. Automation Engineer/Senior Agentic AI Security Engineer serves as a senior technical authority responsible for designing, building, and governing enterprise-scale intelligent automation systems centered on agentic artificial intelligence.
- This 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 environments.
- The 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 standards.
Your responsibilities will be:
- Deep hands-on experience building and deploying agentic AI systems, including LLM APIs, RAG, prompt engineering, and multi-agent architectures
- Strong security mindset with expertise in AI threat modeling, prompt injection defense, zero-trust principles, and secure handling of model inputs/outputs
- Solid software engineering foundation (Python + compiled language) with experience in microservices, CI/CD, and infrastructure-as-code
- Ability to design resilient AI systems with strong observability, tracing, and understanding of non-deterministic failure modes
- Proven ability to operate cross-functionally and lead without authority across engineering, security, product, and operations
- Capable of translating complex technical concepts into clear roadmaps, architecture decisions, and executive-level communication
The ideal candidate has
- Proven track record building production-grade agentic AI systems that operate reliably at scale
- Hands-on experience designing agent orchestration patterns, debugging non-deterministic failures, and delivering observable, auditable AI pipelines in regulated environments
- Strong applied security expertise, including implementing defenses against prompt injection, jailbreaking, and tool misuse, with experience in red-teaming or penetration testing AI systems
- Demonstrated ability to drive alignment across security, legal, compliance, product, and engineering, turning competing priorities into practical, well-documented outcomes
- Comfortable presenting architectural trade-offs and risk decisions to senior leadership in high-stakes environments
- Experience in financial services or regulated industries, with exposure to AI governance, model risk management, or internal AI policy development preferred
A reasonable, good faith The anticipated base pay compensation range for this position is $160,000.00 to $180,000.00
Benefits: Full time employees are eligible For Health Insurance, Paid Time Off, and 401k match
- The pay range listed above reflects the expected starting salary /Pay rate for this role. This range may be adjusted based on market conditions, location, and other relevant factors. The Company will determine the final starting salary/Pay rate in consultation with the selected candidate(s), in full compliance with applicable laws
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