AI Leader Industry Cloud & Digital

Job description:

Job Description

AI Leader Industry Cloud & Digital (ICD)

AI Architecture & Hands-on Engineering Expertise (Mandatory)

This is a hands-on architect-leader role. Candidates must have personally designed, built, and shipped production AI systems, not only overseen them.

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

Location Flexible (aligned to ICD Sectors); travel as required for key pursuits and strategic accounts

Role Overview

The AI Leader in ICD is a senior, hands-on AI architect, client‑facing technologist and transformation leader accountable for designing, building, and scaling enterprise AI solutions, accelerating AI adoption, realizing 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
• Architect and build production-grade agentic AI solutions , spanning multi-agent orchestration and interoperability, secure integration of enterprise tools and data, and governed, cost-aware access to models
• Shape AI‑led transformation roadmaps and commercial models
• Ensure AI initiatives move beyond experimentation to repeatable, governed value realization

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

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Core Responsibilities

1. 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, DevSecOps & 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.

2. 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.

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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 a Team

• Leading a team of FDE’s and AI thought leaders to drive client and business outcomes
• Create pov’s and assets that can be leveraged cross sectors
• Author and publish white papers to drive eminence for Wipro in the market
• Create rapid PoC’s in client envir…