Delivery Director – AI Reliability Programs (Navi Mumbai)

Delivery Director – AI Reliability Programs (Navi Mumbai)

12 Aug
|
QualityKiosk Technologies
|
Navi Mumbai

12 Aug

QualityKiosk Technologies

Navi Mumbai

JD # Delivery Director – AI Reliability Programs

Role Overview

We are looking for an experienced Program Manager to lead strategic Software Quality Engineering and AI Reliability programs for enterprise customers. This role requires strong expertise in software delivery, AI-enabled engineering ecosystems, quality transformation and large-scale program governance.

The ideal candidate will have a strong engineering foundation, deep understanding of SDLC and quality engineering practices and demonstrated experience managing complex customer programs focused on software reliability, AI reliability, and business outcomes.

The role involves leading cross-functional teams comprising Test Managers, Test Architects, Quality Engineers, and AI Engineers while driving operational excellence, customer confidence and program growth. Key Responsibilities

Lead large-scale Software Quality Engineering and AI Reliability programs across enterprise customers

Drive end-to-end governance across SDLC stages including requirements, development, testing, release, production validation, and operational reliability

Oversee delivery teams consisting of Test Managers, Test Architects, Quality Engineers, and AI Engineers

Ensure software and AI systems meet reliability, performance, quality, observability, and governance standards

Lead AI-led quality transformation initiatives including intelligent test automation, AI-assisted testing, evaluation frameworks, and AI observability

Partner with customers to define quality strategies, reliability roadmaps, governance models, and measurable business outcomes

Own program delivery, financial performance, profitability, and overall P&L; management

Build strong client relationships that drive customer retention, confidence, and business growth

Manage risks, escalations, dependencies, and stakeholder communication across multiple programs and teams

Operate effectively in fast-changing environments with evolving technologies, delivery priorities, and customer expectations





Mentor delivery leaders and create a culture focused on accountability, engineering excellence, and continuous improvement Required Experience & Qualifications

15+ years of experience in software engineering, quality engineering, and program management

Proven track record of leading enterprise-scale software development, quality engineering, or AI reliability programs

Strong understanding of SDLC, Quality Engineering, DevOps, CI/CD, test automation, release governance, and production assurance

Prior hands-on experience as a software developer/engineer early in career

Demonstrated expertise in AI/GenAI programs, AI evaluation methodologies, AI observability, and reliability engineering

Experience leading multi-disciplinary teams including Test Managers, Architects, and AI Engineering teams

Proven success in client retention, customer relationship management, and business growth initiatives

Experience owning program financials and P&L; responsibilities

Excellent executive communication, stakeholder management, and problem-solving skills

Robust adaptability and ability to lead in environments with continuous change and ambiguity What We Will Evaluate

Candidates will be evaluated based on:

The measurable impact they created in customer programs

Their ability to improve software and AI reliability outcomes at scale

Examples of transformation, optimization, or modernization initiatives they led

Their approach to handling complex delivery and stakeholder challenges

Learnings derived from failures, escalations, and program pivots

Depth of ownership, leadership maturity, and execution capability

Practical understanding of AI-led software quality and reliability engineering Ideal Candidate Profile

Engineering-led program leader with strong business acumen

Deeply customer-focused and outcome-oriented

Strong understanding of both traditional software systems and AI-driven engineering ecosystems

Comfortable operating across executive discussions and technical delivery governance

High ownership mindset with strong execution discipline

Able to balance quality rigor, innovation, speed, and operational reliability in enterprise environments

📌 Delivery Director – AI Reliability Programs (Navi Mumbai)
🏢 QualityKiosk Technologies
📍 Navi Mumbai

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