Industry Cloud & Digital; ICD; AI Leader

Job Title:

Industry Cloud & Digital (ICD) - AI Leader

City:
Atlanta

State/Province:
Georgia

Posting

Start Date:

8/26/26

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world.

For additional information, visit us at

Job Description:

Industry Cloud & Digital (ICD) – AI Leader

Level: Senior Leader – Client-facing and Internal transformation leadership

Location Flexible travel as required for key pursuits and strategic accounts

Role Overview

The AI Leader in ICD is a senior leader, client‑facing technologist and transformation leader accountable for accelerating AI adoption at scale, realize measurable business value and embedding AI into Deal strategy and commercial constructs across A1 accounts

The role partners directly with CIOs, CTOs, COOs, Business Leaders
, Sector leaders and ICD team to:

• Embed AI into software engineering, modernization, quality engineering, and SRE
• Shape AI‑led transformation roadmaps and commercial models
• Ensure AI initiatives move beyond experimentation to repeatable, governed value realization

This role bridges strategy, execution, and outcomes
, ensuring AI becomes a trusted, sustainable lever for productivity, quality, speed, and resilience.

Core Responsibilities

Driving Enterprise AI Adoption

AI Strategy & Roadmap

• Co‑create with clients and Delivery team, AI adoption roadmaps aligned to client business priorities aligned to WEGA archetypes
• Identify and prioritize high‑impact AI use cases (e.g., engineering productivity, accelerated modernization, intelligent quality, AI‑driven SRE).

AI‑Enabled Delivery Transformation

• Embed AI into end‑to‑end software delivery workflows—from requirements to code generation, quality engineering, Dev Sec Ops  & SRE.
• Introduce agent‑based and AI‑assisted execution models where they deliver clear value.
• Establish delivery standards, reference architectures, and guardrails to ensure quality and security.

Change Enablement & Adoption

• Support organizational change by helping clients shift ways of working, roles, and skills to normalize AI in daily execution.
• Enable leadership and teams with structured adoption approaches, role‑based enablement, and best‑practice patterns.

Measurement & Value Realization

• Define success metrics and dashboards to track AI adoption and business impact.
• Help clients continuously optimize AI initiatives based on measurable outcomes.

Shaping AI‑Led Transformation Programs and Deals

AI‑Led Solution & Transformation Design

• Partner with client leadership to shape AI‑driven transformation programs across modernization and managed services.
• Translate AI capabilities into clear business cases and transformation narratives.

Commercial & Value Structuring

• Design commercial models that reflect AI‑driven productivity and outcomes, including:
• Outcome‑based constructs
• Productivity‑linked pricing
• Gain‑share and shared‑value models
• AI‑enabled service bundles
• Ensure AI benefits are explicitly defined, measured, and fairly shared
  .

Risk, Security & Responsible AI

• Address enterprise concerns around data security, residency, governance, and auditability.
• Ensure AI initiatives align with responsible AI principles and regulatory expectations.

Deal‑to‑Delivery Inception

• Ensure commitments made during strategy and contracting are seamlessly embedded into delivery execution, governance, and reporting—avoiding gaps between promise and realization.

Client Engagement & Leadership

• Act as a trusted AI advisor to senior client stakeholders.
• Facilitate executive discussions on AI strategy, adoption readiness, and transformation trade‑offs.
• Provide thought leadership on emerging AI and agentic delivery patterns relevant to client industries.

Leading…