AVP, Cybersecurity AI Solutions Dev (Radnor, PA, US)

About this role

Alternate Locations: Work from Home; Charlotte, NC (North Carolina); Fort Wayne, IN (Indiana); Greensboro, NC (North Carolina); Radnor, PA (Pennsylvania) Work Arrangement: Remote : Work at home employee residing outside of a commutable distance to an office location. Relocation assistance: is not available for this opportunity. Requisition #: 76520 The Role at a Glance This role will define, architect, and advance applied AI capabilities that enhance cybersecurity operations across threat detection, investigations, response, and offensive security activities. You will lead the design of production-grade agentic AI solutions, establish standards for reliability and evaluation, and partner with technology and cybersecurity stakeholders to deliver scalable capabilities that improve operational effectiveness. What you'll be doing Executes the cybersecurity AI strategy by prioritizing and delivering production-grade agentic AI capabilities that advance threat detection, investigations, incident response, and offensive security operations. Defines the architecture, evolution, and operating model for production agentic AI capabilities used across cybersecurity response, investigations, threat hunting, and offensive operations. Leads critical AI solution programs that improve cyber operations, reduce investigative friction, and strengthen security response effectiveness across the department. Designs multi-agent workflows, tool integrations, and human-in-the-loop control points that hold up under repeated, real-world use. Builds and maintains evaluation harnesses, regression testing, and observability for non-deterministic AI systems so behavior is measurable and auditable. Analyze how our analysts and operators work today to identify high-value opportunities for AI-driven efficiency, productivity, and posture gains. Establishes technical standards for agent design, evaluation, observability, regression testing, and reliability of non-deterministic AI systems. Designs and delivers agents, prompting strategies, skills, and agentic workflows that accelerate investigation, response, threat hunting, and red team operations. Write production-quality Python and build against modern LLM provider APIs and orchestration frameworks (LangGraph and related). Influences cross-functional design decisions related to AI orchestration, LLM provider usage, Amazon Bedrock capabilities, and secure solution architecture. Champion responsible, compliant AI use in partnership with Legal, Compliance, and Risk, consistent with NYDFS, GLBA, and SOX obligations. Directs/executes approved strategy decisions and contributes to strategy creation. Provides strategic direction to build and enhance the capability. Maintains knowledge on current and emerging developments/trends, assesses the impact, and collaborates with senior management to incorporate new trends and developments in current and future strategies. Directs and enhances organizational initiatives by positively influencing and supporting change management and/or departmental/enterprise initiatives. Provides subject matter expertise to team members and applicable internal/external stakeholders on complex assignments/projects. Identifies and directs strategic process improvements that significantly improve quality across the team, department and/or business unit. Maintains deep technical knowledge of agentic AI frameworks, LLM orchestration, cybersecurity use cases, and emerging enterprise AI practices. What we’re looking for Must Haves: 4 Year/Bachelor's degree in Computer Science, Engineering, a related field or equivalent work experience (4 years of experience in lieu of Bachelor's) 2+ years of relevant experience, including demonstrated, hands-on delivery of production AI/agentic systems (not prototypes) using orchestration frameworks such as LangGraph, LangChain, or equivalent. 10+ Years experience in cybersecurity, solutions architecture, software engineering, security operations, or related technolo

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