AI Delivery Director

Virtusa; New Jersey; On-site; USD 180,000 - 260,000; Full time

Job summary

Virtusa is seeking a high-impact Senior Director to lead the technical realization of AI and Emerging Tech portfolios. This role focuses on building delivery capacity and capability to meet the evolving needs of strategic accounts, acting as the AI Lab SPOC and partnering with SBUs to translate AI roadmaps into executable plans.

The ideal candidate will combine strategic leadership with hands-on delivery excellence, working to drive transformation, define best practices, and ensure capacity and

Qualifications

• 18+ years of technology leadership experience.
• 5+ years leading AI/ML or GenAI delivery programs from discovery to scale.
• Experience building global delivery teams for enterprise growth.
• Executive presence with VP/C-suite stakeholders.
• Strong understanding of modern delivery models and AI-driven engineering workflows.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

Responsibilities

• Lead AI and Emerging Tech delivery across strategic accounts and SBUs.
• Act as AI Lab SPOC liaising with SBU Heads to align AI roadmaps.
• Define AI-native delivery methodologies to improve velocity and quality.
• Ensure adherence to organization-wide standards and governance.
• Plan talent, capacity, and succession to meet near- and mid-term AI demand.
• Develop and maintain trusted advisor relationships with CXO-level clients.

Skills

AI/ML leadership

Delivery leadership

Executive presence

Strategic scaling

Stakeholder management

Architectural thinking

Education

Bachelor’s or Master’s in Computer Science/Engineering

Tools

Agile

Job description

Role Summary

We are seeking a high-impact Senior Director to lead the technical realization of AI and Emerging Tech portfolios. This is a delivery-first leadership role focused on building the delivery capacity and capability required to meet the evolving needs of our most strategic accounts. This role requires a strong mix of delivery leadership, an innovation mindset and client partnership. While the Business Units (SBUs) own direct account delivery, you will be the AI Lab SPOC liaising with SBU Heads to understand their AI strategies for their growth accounts. You are responsible for facilitating cross-SBU knowledge sharing, defining AI-native bestpractices, and ensuring that each Business Unit has the technical capacity and talent strategy required to execute its specific AI roadmaps. The ideal candidate is a builder - someone who can operate at both strategic and ground level, drive transformation through AI and engineering excellence, and act as a trusted advisor to senior client stakeholders.

Role Summary

We are seeking a high-impact Senior Director to lead the technical realization of AI and Emerging Tech portfolios. This is a delivery-first leadership role focused on building the delivery capacity and capability required to meet the evolving needs of our most strategic accounts. This role requires a strong mix of delivery leadership, an innovation mindset and client partnership. While the Business Units (SBUs) own direct account delivery, you will be the AI Lab SPOC liaising with SBU Heads to understand their AI strategies for their growth accounts. You are responsible for facilitating cross-SBU knowledge sharing, defining AI-native bestpractices, and ensuring that each Business Unit has the technical capacity and talent strategy required to execute its specific AI roadmaps. The ideal candidate is a builder - someone who can operate at both strategic and ground level, drive transformation through AI and engineering excellence, and act as a trusted advisor to senior client stakeholders.

Key Responsibilities

• AI Delivery & Capability Building
• Delivery SPOC: Serve as the bridge between the GTM Team, Technical R&D, and Business Units.
• Delivery Best Practice Definition: Define and introduce AI-native delivery methodologies to improve AI delivery velocity and quality
• Execution Rigor: Ensure that while SBUs own the delivery, they are adhering to organization-wide standards
• Talent Planning
• Strategic Scaling: Work closely with Client Partners to build delivery capacity in line with near and mid-term AI growth.
• Fulfillment Planning: Lead demand forecasting with Business Units and fulfillment strategies to ensure readiness for AI project staffing
• Oversee talent planning, utilization, attrition management, rotation planning and succession planning.
• Competency Design: Partner with L&D, Talent Acquisition and staffing teams to define and acquire the core AI competencies required for the next 12-24 months of demand, ensuring BUs have access to a high-caliber talent bench.
• Strategic Client Partnership
• Delivery Advisor: Act as the delivery SPOC for AI Labs for key strategic accounts, participating in high-level client sessions to translate AI roadmaps into executable plans.
• Accountability: Lead complex client conversations regarding delivery roadmaps, value realization, and technical risk management.
• Support pre-sales activities, solution shaping, and proposal reviews for AI

Delivery Leadership & Client Advocacy

• Strategic Advisor Presence: Build long-term, trusted-advisor relationships with CXO-level stakeholders by demonstrating deep technical credibility and consistent delivery reliability.
• Escalation Management: Serve as the final technical authority for critical client escalations, ensuring swift resolution through architectural or operational interventions.

Required Experience & Qualifications

• 18+ Years of Technology Leadership: Extensive background in software engineering and global delivery management.
• AI/Emerging Tech Expertise: Minimum 5+ years leading high-stakes AI/ML or GenAI delivery programs from discovery to scale.
• Strategic Scaling: Proven success in building global delivery teams from the ground up to support rapid enterprise expansion.
• Executive Presence: Ability to build trusted-advisor relationships at the VP and C-suite level through technical credibility and reliable delivery.
• Technical Roots: Strong understanding of modern delivery models, including Agile, and AI-driven engineering workflows.
• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.