AI Agent Engineering, DevSecOps Automation Engineer

Truist

. Design, build, and implement enterprise infrastructure technology platforms and systems across cloud, network, database, storage, platform, computing, or middleware domains .

Posted 9/29/2026full-timeCharlotte • North Carolina • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing enterprise infrastructure technology platforms, with a strong focus on AI integration, DevSecOps automation, and compliance within regulated environments. Proficient in Python programming, API development, and infrastructure engineering best practices to enhance software delivery and operational efficiency.

Highest-signal resume keywords

Infrastructure EngineeringAI Agent DevelopmentPython ProgrammingDevSecOps AutomationCompliance Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Infrastructure TechnologiesAI AgentsAgentic WorkflowsAPI DevelopmentAutomated TestingPolicy-as-CodeInfrastructure-as-CodeEvent-Driven ArchitecturesKubernetesOpenTelemetry

Soft Skills

Problem-SolvingCommunication

Tools & Technologies

GitLab CI/CDAnsible Automation PlatformSplunkGrafanaOpenShift

Industry Keywords

Regulated Financial ServicesHealthcareGovernment

Tech Stack

Tools & technologies

AnsibleCloudCyber SecurityGrafanaKubernetesOpenShiftPythonSplunk

About the role

Key responsibilities & impact

Design, build, and implement enterprise infrastructure technology platforms and systems across cloud, network, database, storage, platform, computing, or middleware domains
Develop and operationalize AI agents that automate DevSecOps control, engineering, and execution functions across the enterprise
Build secure, scalable, and reusable agentic capabilities to improve software delivery, strengthen control execution, and reduce manual effort
Develop agentic workflows and platform integrations for control validation, policy enforcement, evidence collection, pipeline execution, application security remediation, infrastructure automation, engineering support, and platform operations
Integrate AI capabilities with enterprise DevSecOps platforms, APIs, event-driven services, automation frameworks, and observability tooling
Apply secure development, human oversight, auditability, and policy-as-code practices
Apply automation, monitoring, and optimization techniques to ensure high availability and performance
Manage infrastructure engineering projects and processes aligned with organizational policies and regulatory requirements
Collaborate with cross-functional teams and stakeholders to integrate new technologies and improve infrastructure standards and processes
Troubleshoot and resolve complex technical issues impacting infrastructure performance and reliability
Support compliance with technology strategies, standards, and governance
Review and guide infrastructure designs, configurations, and procedures
Provide technical guidance and direction to lower-level technical professionals
Develop technical solutions through deep analysis of infrastructure systems and lead infrastructure processes

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Engineering, Information Systems, a related field, or equivalent education, training, and work-related experience
Minimum of 5 years of professional experience in infrastructure engineering
Strong knowledge of enterprise infrastructure technologies including cloud, network, database, storage, platform, computing, and middleware
Hands-on experience designing and developing AI agents, agentic workflows, copilots, or autonomous automation solutions using modern LLM and orchestration frameworks
Strong proficiency in Python and API-first software development, including production-grade services, automated testing, secure coding, and integration patterns
Experience with retrieval-augmented generation, tool use, structured outputs, prompt and context management, model evaluation, and safeguards for enterprise AI solutions
Experience integrating AI agents with GitLab CI/CD, Ansible Automation Platform, infrastructure-as-code, policy-as-code, application security tooling, artifact repositories, and engineering workflow platforms
Experience automating DevSecOps controls such as policy enforcement, security scanning, control validation, evidence collection, exception handling, and remediation workflows
Working knowledge of REST APIs, event-driven architectures, Git-based development, containers, Kubernetes or OpenShift, and cloud or on-premises platform environments
Experience implementing agent observability, audit logging, telemetry, evaluation metrics, human-in-the-loop controls, access controls, and operational monitoring using OpenTelemetry, Splunk, Grafana, or similar technologies
Experience working in a regulated financial services, healthcare, or government environment where compliance constraints directly shape technical architecture decisions
Strong problem-solving and communication skills with the ability to explain technical complexity in plain language and collaborate across engineering, cybersecurity, risk, architecture, and product teams
English language fluency required

Benefits

Comp & perks

Medical insurance
Dental insurance
Vision insurance
Life insurance
Disability insurance
Accidental death and dismemberment coverage
Tax-preferred savings accounts
401(k) plan
At least 10 days of vacation during the first year, prorated by date of hire and full-time or part-time status
10 sick days, prorated
Paid holidays
Defined benefit pension plan, depending on position and division
Restricted stock units, depending on position and division
Deferred compensation plan, depending on position and division