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Palo It

Senior AI Transformation Consultant

PALO IT SingaporeHybrid · Singapore
Senior · FullTime · Transformation & Delivery
POSTED 2 OCTVERIFIED 56M AGO
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Pay · market
SGD 121k–SGD 198k
p25–p75 · n=29
Open for
33d
since 2 Oct
Hiring · 30d
38
0 net · open roles

Who We Are

Build. Scale. Sustain.

We are a global technology consultancy with a trademarked, AI-first engineering approach for accelerating the delivery of digital products, and revolutionizing platform modernization. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company.

We are small enough to care locally, big enough to deliver globally: 5 continents, 10 countries, +500 experts from +50 nationalities across the Americas, Europe and APAC

We are robust and resilient: 100% independent and 0 debt

We are entrepreneurs and passionate experts: We invest in what we believe genuinely and work as a collective intelligence

We are positive, courageous, caring, doers and committed to excellence

About Gen-e2TM

While the market is still largely AI-augmenting delivery, we have reinvented the SDLC to be AI First. Leveraging our 16 years expertise in digital transformation, our approach is a game-changer in productivity and quality, with a strong collaboration between IA generative and our best Talents:

We now generate 95% of the entire product — code, documentation, infrastructure as code, and even design powered by GitHub Copilot.

The quality consistently exceeds the output of our best traditional engineering teams.

A product repository houses all product artefacts, giving AI full project context for higher-quality generation.

A library of rules and prompts defines coding standards, design principles, and security guidelines, ensuring enterprise-grade quality and scalability.

With Gen-e2TM, we deliver end-to-end products 2–3× faster than traditional approaches, while raising the bar for engineering excellence.

YOUR ROLE

PALO IT is an AI-enabled software delivery consultancy helping enterprises transform how they build products and run programs. Our Gen-e2 methodology sits at the heart of this work — a structured approach to embedding AI augmentation across the full software delivery lifecycle, from discovery to deployment.

We're looking for a Senior AI Transformation Consultant to join the Gen-e2 Pilots & Transformation team. This role centres on helping clients turn AI ambition into lasting organisational change. You will shape transformation roadmaps, align stakeholders, guide teams through new ways of working, and ensure that AI initiatives deliver measurable business value. If you enjoy navigating complexity, building momentum across organisations, and helping people adopt meaningful change, this role is for you.

Key Responsibilities

Transformation Program Delivery

Lead or co-lead AI pilot and transformation programs end-to-end: scoping, delivery, measurement, iterating 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 meaningful metrics — productivity uplift, backlog quality, cycle time — to demonstrate and sustain value for the client

Lead the discovery work that opens an engagement: assess the client's current SDLC and constraints, appetite for change and select real use cases from their backlog

Design and facilitate the development of transformation roadmaps for clients, sequencing capability building, tooling adoption, and organisational change across waves

Support the setup and operationalisation of client AI Centre of Excellence (CoE): governance models, ways of working, role definitions, and capability frameworks

Collaborate with PALO IT practice leads to evolve the methodology based on field learnings

AI Engineering

Co-Design and build AI toolchains with our Gen-e2 Engineers — agentic workflows, MCP integrations, AI-assisted SDLC pipelines — deployed in real client environments

Architect multi-agent systems and automation across the delivery lifecycle (backlog refinement, code generation, test automation, impact analysis)

Evaluate and integrate emerging AI tooling (models, frameworks, IDEs, orchestration layers) into structured delivery patterns

Source · Palo ItFirst seen 2 NovOriginal ↗