Senior Director, Agentic Engineering

🔥 0 minutes ago

🌲 North Carolina – Remote

🌲 North Carolina – Remote

💵 $240k - $360k / year

⏰ Full Time

🟠 Senior

🖥 Software Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Truist

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2019

🏦 Banking

💸 Finance

🤝 B2B

Banking • Finance • B2B

Truist is a financial institution that offers a wide range of banking services, focusing on branch banking, commercial banking, corporate and institutional banking, and mortgage and consumer lending. The company emphasizes a culture of care, diversity, and inclusion, striving to make a positive impact in clients' lives and the community. Truist provides various career opportunities and values employee growth, offering comprehensive benefits and resources for well-being. With a commitment to diversity and workplace equity, Truist has received numerous accolades for its employment practices, including recognition for diversity and inclusion efforts.

📋 Description

• Lead the Agentic Engineering function with executive leadership, organizational design, technical governance, delivery accountability, and talent leadership • Own technical direction for Forge agentic solutions, including architecture standards, engineering patterns, and development practices • Drive work planning, prioritization, execution management, and delivery outcomes across the agentic engineering organization • Serve as the final engineering authority for architecture decisions, engineering standards, and critical code review escalations • Design and govern enterprise patterns for agent orchestration, tool invocation, RAG, memory management, prompt architecture, workflow automation, reasoning frameworks, evaluation pipelines, observability, and operational support • Lead engineering strategy for enterprise agent platforms including Microsoft Copilot Studio, Azure AI Foundry, and emerging agentic technologies • 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, testing strategies, release management, architecture review, secure development practices, operational readiness, and reliability engineering • Drive execution across cross-functional initiatives involving application, platform, data, AI, cybersecurity, and enterprise architecture teams • Champion measurable quality controls, system reliability objectives, operational metrics, and continuous improvement • Evaluate emerging AI technologies, frameworks, models, and engineering approaches • 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 • Foster accountability, innovation, engineering excellence, continuous learning, and responsible AI development

🎯 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 • English language fluency required • 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

🏖️ Benefits

• Medical insurance • Dental insurance • Vision insurance • Life insurance • Disability insurance • Accidental death and dismemberment coverage • Tax-preferred savings accounts • 401k plan • At least 10 days of vacation during the first year, prorated • 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