Job Description AI and Engineering Leader 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 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 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. 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 Po C’s in client environment to showcase value Experience & Expertise Clients can expect a leader who brings: Deep experience in enterprise AI transformation Proven success delivering AI‑enabled engineering and operations outcomes Strong understanding of commercial and contractual implications of AI Ability to translate complex AI concepts into clear business value narratives Experience working with regulated and security‑sensitive environments What Clients will Gain Clients engaging with the AI Technology Partner benefit from: Practical AI adoption at enterprise scale —not pilots or proofs of concept Faster time‑to‑value through AI‑enabled SDLC and intelligent automation Clear business outcomes tied to productivity, quality, and cycle‑time improvement Confidence and trust through secure, compliant, and responsible AI adoption Continuity from strategy to execution , with no disconnect between ambition and delivery