Senior Director, Agentic Engineering

Truist•Charlotte, NC

1d•$240,000 - $360,000•Onsite

About The Position

The Senior Director, Agentic Engineering serves as the executive leader of Forge's agentic engineering organization and is accountable for the technical vision, engineering execution, and operational excellence behind Truist's enterprise AI agent ecosystem. This leader owns the engineering function responsible for designing, building, deploying, and operating production-grade AI agents, multi-agent systems, and agentic workflows that transform how teammates and clients interact with the Firm. This is a highly technical player-coach leadership role that combines executive organizational leadership with deep hands-on engineering expertise. The Senior Director leads the engineering function, establishes technical direction, drives work planning and execution, and serves as the ultimate escalation point for architecture and engineering decisions across the agentic engineering portfolio. The successful candidate will bring extensive experience building large-scale software and AI systems, including expertise in Python, modern systems languages such as Go, agentic frameworks, LLM orchestration, retrieval architectures, and enterprise AI platform engineering. This leader will be responsible for shipping production agentic systems, not simply defining roadmaps, ensuring all solutions meet Truist standards for security, scalability, resiliency, observability, governance, and regulatory compliance. The Senior Director partners closely with Product, Architecture, Security, Platform Engineering, Data Engineering, Risk, and executive leadership teams to translate business strategy into enterprise-scale AI capabilities while building and mentoring a world-class team of agentic engineers.

Requirements

Bachelor’s degree or higher in Information Technology, Computer Science, Business Administration, a related field, or equivalent education, training and work-related experience.
Minimum of 12 years of progressive experience in technology operations.
Broad leadership and management experience leading complex technology operations teams.
Proven ability to manage complex operational initiatives across multiple teams.

Nice To Haves

Experience leading enterprise Agentic Engineering, AI Platform Engineering, Applied AI, Intelligent Automation, or Emerging Technology organizations.
Deep expertise in multi-agent systems, agent orchestration frameworks, prompt engineering, reasoning architectures, retrieval-augmented generation (RAG), memory systems, agent evaluation, and human-in-the-loop workflows.
Experience building production AI applications using Microsoft Copilot Studio, Azure AI Foundry, Azure OpenAI, Semantic Kernel, LangGraph, CrewAI, OpenAI Agents SDK, Amazon Bedrock AgentCore, Google Vertex AI Agent Engine, or similar platforms.
Experience operating enterprise-scale AI platforms supporting thousands of users and mission-critical business processes.
Strong understanding of AI governance, model risk management, responsible AI principles, AI security controls, and enterprise AI operating models.
Demonstrated ability to establish engineering standards, mentor senior engineers and engineering leaders, and build a culture of technical excellence.
Experience delivering solutions across cloud-native ecosystems using Azure and modern DevOps, platform engineering, and software delivery practices.
Experience driving architecture modernization and transformation initiatives within large enterprises.
Experience in financial services, fintech, cybersecurity, or other heavily regulated industries.
Demonstrated participation in industry forums, technology communities, open-source initiatives, vendor partnerships, or executive technology councils.

Responsibilities

Lead the Agentic Engineering function, providing executive leadership, organizational design, technical governance, delivery accountability, and talent leadership across all agentic engineering initiatives.
Own the technical direction for Forge agentic solutions, establishing architecture standards, engineering patterns, and development practices for enterprise AI agents and multi-agent systems.
Drive work planning, prioritization, execution management, and delivery outcomes across the agentic engineering organization, ensuring teams consistently deliver high-quality production systems aligned to business commitments.
Serve as the final engineering authority for architecture decisions, engineering standards, and critical code review escalations across the agentic engineering portfolio.
Design and govern enterprise patterns for agent orchestration, tool invocation, retrieval-augmented generation (RAG), memory management, prompt architecture, workflow automation, reasoning frameworks, evaluation pipelines, observability, and operational support.
Lead the engineering strategy for enterprise agent platforms including Microsoft Copilot Studio, Azure AI Foundry, and other emerging agentic technologies required to support the Forge roadmap.
Partner with Product, Technology, Security, Risk, Architecture, and Data leaders to ensure AI solutions are secure, compliant, scalable, and aligned to enterprise priorities.
Build and mentor a high-performing engineering organization through hiring, performance management, succession planning, coaching, career development, and technical leadership.
Establish and enforce engineering excellence standards including software craftsmanship, testing strategies, release management, architecture review, secure development practices, operational readiness, and reliability engineering.
Drive engineering execution across complex cross-functional initiatives involving application engineering, platform engineering, data engineering, AI engineering, cyber security, and enterprise architecture teams.
Champion engineering rigor through measurable quality controls, system reliability objectives, operational metrics, and continuous improvement practices.
Evaluate emerging AI technologies, frameworks, models, and engineering approaches, identifying opportunities to accelerate delivery, improve reliability, and strengthen enterprise capabilities.
Represent Agentic Engineering in executive governance forums, architecture review boards, risk committees, vendor engagements, regulatory discussions, and industry working groups.
Manage organizational budgets, vendor relationships, workforce planning, engineering tooling investments, and resource allocation to support strategic objectives.
Foster a culture of accountability, innovation, engineering excellence, continuous learning, and responsible AI development across the organization.