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Regular or Temporary:

Language Fluency:  English (Required)

Work Shift:

ESSENTIAL DUTIES AND RESPONSIBILITIES
Following is a summary of the essential functions for this job.  Other duties may be performed, both major and minor, which are not mentioned below.  Specific activities may change from time to time.  

• Own the agentic engineering function — providing executive leadership, organizational design, technical standards, and delivery accountability across all agentic engineering teams and initiatives.

• Define and enforce the Forge agentic architecture — including patterns for single-agent and multi-agent systems, prompt orchestration, tool-calling, memory and session management, RAG, human-in-the-loop controls, evaluation, observability, and governed deployment.

• Drive delivery execution across agentic engineering — managing sprint cadences, resolving complex technical and delivery blockers, enforcing quality and governance standards, and ensuring the team ships production-ready AI agents on committed timelines.

• Build and develop a world-class agentic engineering team through hiring, onboarding, coaching, performance management, career development, and technical culture investment.

• Partner with the Head of Technology, Head of Development, Head of Product, and AI Security Lead to ensure agentic engineering delivery is aligned to strategic priorities, enterprise security standards, and business outcomes.

• Own the agentic engineering operating model — including team structure, delivery ceremonies, architecture review, code quality standards, evaluation frameworks, deployment controls, and operational support practices.

• Drive cross-functional delivery alignment across agentic engineering, application engineering, data, platform, security, QA, and enablement teams to ensure AI agents move from design to production reliably and at scale.

• Represent agentic engineering in senior leadership forums, governance reviews, architecture discussions, vendor partnerships, and external AI community engagement.

• Stay at the forefront of the AI agent technology landscape — evaluating new platforms, frameworks, models, and capabilities, and incorporating relevant advances into the Forge agentic engineering strategy.

• Manage agentic engineering budget, tooling, vendor relationships, and resource allocation in alignment with Forge delivery priorities and enterprise financial governance.

• Foster a culture of engineering excellence, experimentation with discipline, continuous learning, and accountability within the agentic engineering organization.

QUALIFICATIONS
Required Qualifications:
The requirements listed below are representative of the knowledge, skill and/or ability required.  Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

1. Bachelor’s degree in Information Technology, Information Security, Engineering or a related discipline.

2. 20+ years of experience in financial services, government, large consulting firms, or equivalent, with a focus on information security risk management.

3. 15+ years prior management experience with a track record of team development and process improvements.

4. 15+ years of experience in leading issue management and resolution of financial regulatory and internal risk partner findings.

5. Extensive knowledge of cybersecurity capabilities, including expertise in one or more of the following areas: Encryption, Data Security, Application Security, IAM, Network Security, Cloud Security, etc.

6. Proven track record in leading delivery of security programs, including planning, execution, and reporting.

7. Demonstrated ability to communicate complex technical concepts in business terms to C-Level executives.

8. Strong interpersonal skills and the ability to interface with all levels of personnel (executive to entry level).

9. Experience developing and operating management routines for large organizations, including process and control effectiveness and metrics (KRI/KPI).

10. Deep knowledge of cybersecurity frameworks (e.g., NIST, ISO 27001) and financial industry regulations (e.g., PCI DSS, SOX, GLBA).

Preferred Qualifications:

• 12+ years of progressive software or AI engineering experience, including 5+ years in engineering management or technical leadership with direct people management responsibility.

• Deep technical expertise in AI agent systems, LLM-powered application development, agentic orchestration, prompt engineering, tool integration, RAG, and evaluation for production AI systems.

• Demonstrated experience leading and scaling engineering organizations in enterprise environments, including hiring, team development, delivery management, and organizational design.

• Proven track record of delivering production-ready AI-enabled capabilities at enterprise scale — with strong quality, security, and operational reliability.

• Experience leading engineering delivery across multi-platform AI ecosystems including Microsoft/Azure, cloud-native services, and modern agent frameworks.

• Strong ability to manage senior technical talent, build high-performing agentic engineering teams, and drive a culture that balances innovation speed with enterprise governance.

• Excellent written and verbal communication skills for executive-facing delivery reporting, stakeholder management, and organizational leadership.

• Experience operating within regulated enterprise environments where security, compliance, audit, and governance controls shape AI delivery practice.

• Experience leading agentic engineering organizations building multi-agent systems, enterprise AI platforms, or production-scale prompt-driven workflow automation.

• Deep familiarity with Microsoft Copilot Studio, Azure AI Foundry, Amazon Bedrock AgentCore, Google Vertex AI Agent Engine, or comparable enterprise agentic platforms.

• Experience in financial services, cybersecurity, or other highly regulated industries with strong control, audit, and release management expectations for AI systems.

• Experience building agentic engineering teams from early-stage into scaled enterprise delivery — including architecture, process, tooling, and culture development.

• Familiarity with responsible AI principles, AI governance frameworks, enterprise model risk management, and regulatory AI guidance relevant to financial institutions.

• Experience representing engineering organizations in external AI communities, vendor partnerships, or enterprise technology governance forums.

OTHER JOB REQUIREMENTS / WORKING CONDITIONS

Visual / Audio / Speaking

Able to access and interpret client information received from the computer and able to hear and speak with individuals in person and on the phone.

Manual Dexterity / Keyboarding

Able to work standard office equipment, including PC keyboard and mouse, copy/fax machines, and printers.

Availability

Able to work all hours scheduled, including overtime as directed by manager/supervisor and required by business need.

Travel

Up to 25%

General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist’s generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist’s defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.