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PALO IT

AI-first consultancy accelerating digital product delivery

AI Transformation Lead

Technology & Systems ConsultingConfirmed live in the last 24 hours
Full-timeSingaporeNo salary listedHybrid

About the Job

Requirements

  • Familiarity with the modern AI tooling ecosystem, including coding assistants, Model Context Protocol servers, and agent frameworks.
  • Hands-on experience with AI-augmented software development lifecycle practices.
  • Experience with stakeholder management.
  • Experience with facilitation and training.
  • Experience with change management and transformation, including roadmapping and key performance indicators.
  • Ability to communicate technical concepts clearly to non-technical stakeholders.
  • Comfort operating in ambiguous, fast-moving client environments.
  • Working knowledge of Agile, Lean, and Systems Thinking principles.

Responsibilities

  • Lead or co-lead AI pilot and transformation programs end-to-end, including scoping, delivery, measurement, iteration, and pivoting.
  • Work embedded in client delivery teams, coaching engineers, product owners, business analysts, and delivery leads on AI-augmented product discovery and delivery practices.
  • Identify and track metrics such as productivity uplift, backlog quality, and cycle time to demonstrate and sustain value for clients.
  • Lead engagement discovery by assessing the client's current software development lifecycle and constraints, appetite for change, and selecting real use cases from their backlog.
  • Design and facilitate client transformation roadmaps, sequencing capability building, tooling adoption, and organisational change across waves.
  • Support the setup and operationalisation of client AI Centres of Excellence, including governance models, ways of working, role definitions, and capability frameworks.
  • Collaborate with practice leads to evolve the methodology based on field learnings.
  • Co-design and build AI toolchains with Gen-e2 engineers, including agentic workflows, Model Context Protocol integrations, and AI-assisted software development lifecycle pipelines, deployed in client environments.
  • Architect multi-agent systems and automation across the delivery lifecycle, including backlog refinement, code generation, test automation, and impact analysis.
  • Evaluate and integrate emerging AI tools, including models, frameworks, integrated development environments, and orchestration layers, into structured delivery patterns.
  • Participate in client discovery and proposal work, contributing technical credibility and realistic scoping.
  • Help shape AI capability assessments, pilot proposals, and transformation roadmaps.
  • Write articles, case studies, or technical posts communicating the organisation's perspective on AI-augmented delivery and its methodology.
  • Speak at industry events, conferences, and client forums, representing technical depth and transformation experience.
  • Contribute to the organisation's external presence on LinkedIn and other channels by sharing field learnings.
  • Help develop frameworks, whitepapers, or playbooks to advance the practice internally and build credibility externally.

Desired Qualifications

  • Experience in agile or software delivery consulting, or a similar advisory context.
  • Exposure to pre-sales, requests for proposals, or client proposal work.
  • Background in financial services, government, or regulated industries.
  • Familiarity with Agile frameworks and practices.

About the Company

PALO IT

AI-first consultancy accelerating digital product delivery

Palo IT is a global AI-first technology consultancy that accelerates the delivery of digital products and modernizes platforms through a trademarked engineering approach. It combines AI-powered methods with proven engineering practices to help clients ship software faster and more reliably. Palo IT differentiates itself by its ethical focus and credibility, being a World Economic Forum New Champion and a B Corp-certified organization, which reflect its commitment to responsible business practices. The company aims to help organizations transform their technology stacks and digital products in a way that balances speed, quality, and sustainability.

Company size
501-1,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Paris, France
Founded
2009

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