AI Agent Engineering & DevSecOps Automation Engineer

About the role

The AI Agent Engineering & DevSecOps Automation Engineer is a senior engineering professional responsible for designing, developing, and operationalizing AI agents that automate DevSecOps control, engineering, and execution functions across the enterprise. This role builds secure, scalable, and reusable agentic capabilities that improve software delivery, strengthen control execution, and reduce manual effort across engineering teams. The engineer develops agentic workflows and platform integrations that support control validation, policy enforcement, evidence collection, pipeline execution, application security remediation, infrastructure automation, engineering support, and platform operations. The role integrates AI capabilities with enterprise DevSecOps platforms, APIs, event-driven services, automation frameworks, and observability tooling while applying secure development, human oversight, auditability, and policy-as-code practices. Success in this role requires strong software engineering fundamentals, hands-on Python and API development, experience with modern AI and LLM frameworks, and practical knowledge of DevSecOps, platform engineering, automation, and regulated technology environments. The engineer translates complex engineering and control requirements into production-grade agents and services that are measurable, maintainable, observable, and safe to operate at enterprise scale. Candidates must be located in or willing to self-relocate to Charlotte, NC; Raleigh, NC or Atlanta, GA. Truist has in‑office requirements that must be honored. Truist will not sponsor an applicant for work visa status or employment authorization, nor will it offer any immigration‑related support for this position.

Responsibilities

• Designs, builds, and implements enterprise infrastructure technology platforms and systems across cloud, network, database, storage, platform, computing, or middleware domains.
• Applies automation, monitoring, and optimization techniques to ensure high availability and performance of infrastructure.
• Manages infrastructure engineering projects and processes aligned with organizational policies and regulatory requirements.
• Collaborates with cross-functional teams and stakeholders to integrate new technologies and continuously improve infrastructure standards and processes.