Agentic Engineering Lead

Head of Agentic Engineering

The Head of Agentic Engineering is the executive leader of our most strategically critical engineering function — the team responsible for designing, building, and operating the enterprise AI agents and agentic workflows that define the agentic value proposition to Truist.

• 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.

• Bachelor’s degree in Information Technology, Information Security, Engineering or a related discipline.
• 20+ years of experience in financial services, government, large consulting firms, or equivalent, with a focus on information security risk management.
• 15+ years prior management experience with a track record of team development and process improvements.
• 15+ years of experience in leading issue management and resolution of financial regulatory and internal risk partner findings.
• 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.
• Proven track record in leading delivery of security programs, including planning, execution, and reporting.
• Demonstrated ability to communicate complex technical concepts in business terms to C‑Level executives.
• Strong interpersonal skills and the ability to interface with all levels of personnel (executive to entry level).
• Experience developing and operating management routines for large organizations, including process and control effectiveness and metrics (KRI/KPI).
• Deep knowledge of cybersecurity frameworks (e.g., NIST, ISO 27001) and financial industry regulations (e.g., PCI DSS, SOX, GLBA).

• 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…