AI and Engineering Leader

About the role

The AI Leader in ICD is a senior leader, client‑facing technologist and transformation leader accountable for accelerating AI adoption at scale, 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 the 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. Location is flexible (aligned to ICD Sectors) with travel as required for key pursuits and strategic accounts.

Responsibilities

• Driving Enterprise AI Adoption
  • AI Strategy & Roadmap – Co‑create with clients and Delivery team AI adoption roadmaps aligned to client business priorities and 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 (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 for 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 a Team – Lead a team of FDE’s and AI thought leaders to drive client and business outcomes; create POVs and assets leveraged cross‑sectors; author and publish white papers to drive eminence for Wipro in the market; create rapid PoCs in client environments to showcase value.

Requirements

• 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.

Benefits

• Full range of medical and dental benefits options.
• Disability insurance.
• Paid time off (inclusive of sick leave).
• Other paid and unpaid leave options.

Pay

The expected compensation for this role ranges from $240,000.00 to $375,000.00.