Senior Director, Forward Deployed Engineer
Listed on 2026-08-09
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Management
Project & Program Management, Operations Management, IT Project Manager
Senior Director Of Forward Deployed Engineering
The Senior Director of Forward Deployed Engineering leads the function responsible for taking AI capabilities out of the platform and into the hands of Truist business lines — deploying, configuring, integrating, enabling, and sustaining production AI solutions directly within the enterprise environments where they create business value. This role sits at the critical intersection of AI engineering and enterprise activation. The Head of Forward Deployed Engineering will lead the strategy, team, operating model, and delivery execution for how Forge capabilities land in production across business units — including integration engineering, deployment readiness, business line enablement, change management partnership, and sustained operational support.
This is an executive builder-leader role. The Senior Director of Forward Deployed Engineering combines deep technical credibility with strong organizational leadership, business relationship management, and the operational discipline to deploy AI at enterprise scale across a complex, regulated financial institution. Daily work includes leading the forward deployed engineering team, managing business line deployment pipelines, driving integration and activation delivery, partnering with product and platform leadership, and ensuring Forge AI capabilities are adopted, operational, and delivering measurable business outcomes.
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 Forge Forward Deployed Engineering function — providing executive leadership, organizational design, delivery standards, and operational accountability for AI capability deployment across all Truist business lines.
- Define and execute the forward deployment strategy — including how AI capabilities are scoped, configured, integrated, tested, deployed, enabled, and sustained within each business line environment.
- Build and develop a high-performing forward deployed engineering team through hiring, onboarding, coaching, performance management, career development, and team culture investment.
- Manage the business line deployment pipeline — including intake, prioritization, scoping, integration engineering, go-live readiness, and post-deployment support for AI capabilities across the enterprise.
- Partner with Forge product, platform, agentic, application, data, security, and QA teams to ensure capabilities are deployment-ready, integration-tested, and enterprise-grade before they reach business lines.
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.
Required Qualifications:
1. Equivalent combination of advanced education and related experience, which could include any combination of:
Fifteen years' experience managing software engineers and systems analysts, Ten years' relevant business experience (i.e. making technical-related decisions on the business side), Five years' managing a large staff, (including managing managers), and Five years' experience with budget responsibilities
2. Ability to translate enterprise level strategic planning information into software and data management needs, create business plans, and turn them into effective business solutions
3. Executive level communications skills, including, strong negotiation/facilitation/presentation skills and experience negotiating with vendors for relevant products and services
4. Significant knowledge of current and emerging application software products and tools
5. Extensive project management experience to include multi-million dollar projects completed on time, within budget and delivering quality results
6. Strong analytical and architectural skills
7. Ability to manage a high volume of internal client relationships
8. Knowledge of all phases of software engineering life cycle and experience with process improvement…
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