KDN Solution Lead - AI

About KDN (KPMG Delivery Network)
The world of global advisory, audit and tax compliance services for large multi-nationals is rapidly changing and heavily dependent on technology. The KPMG Delivery Network (KDN) is a is a a global organisation that supports KPMG member firms in delivering global priority solutions to their clients across a number of different industries. KDN helps to enable growth, improve economies of scale, and discover new ways of collaboration and working.

You’ll be a part of the KPMG family working alongside some of our profession’s most skilled practitioners on rewarding programs and initiatives that are changing the way business operates, delivering value to KPMG's clients, and driving positive change in the communities we serve. You’ll be assisting KDN to accelerate new ways of working, using cutting-edge technology and working together with our member firms located in nearly 150 countries to help us achieve our ambition to be the most trusted and trustworthy professional services firm.

Role summary

The KDN Solution Lead – AI will be leader for the AI offerings, will be instrumental in arriving at strategy, plan, direct and control the AI associated solutions, evolve the portfolio, functions and Delivery of all AI portfolio of solutions. Instrumental Define and provide strategic and technical direction for AI solution and delivery operations.

How will you make your mark? Key responsibilities include

Develop and own the long-term strategy, value proposition, differentiation for the AI solution and offering

Analyse market trends, customer insights, and competitive landscape to shape offering direction Act as the single point of accountability for stakeholders, Member Firms and customers

Collaborate closely with sales, alliances, and customer success to drive adoption

Engage customers directly during solution demos, roadmap presentations, and escalations.

Ability to foresee AI’s long term impact on industries and integrate it into organizational strategy

Champion customer advocacy and long-term value realisation

Own the solution scale up, utilisation, centre strategy and P&L for the platform or solution portfolio.

Accountable for operational and Financial KPIs set for AI solution/service portfolio each FY This is the job for you if you have Exposure to AI governance and regulatory frameworks

Experience in building AI business, solutions and competency
• Experience in Generative AI, LLM and prompt engineering

Exsentive experience in technology within in AI/ML leadership role Strong hands on experience with ML frameworks

Experience with cloud platforms(AWS, AZURE)
Deep understanding of ML algorithms, LLMs and AI architecture

Proven experience in deploying AI solutions at scale across industries

Strong stakeholder management and executive communication skills.

Leadership and people skills:
Capable of guiding teams through digital transformation and AI adoption.

Ability to build talent, experience in building and mentoring AI teams, fostering innovation and upskilling employees

Ethical and Governance competencies:
Responsible AI practices, knowledge of fairness, transparency bias mitigation and regulatory compliance.

Risk Management:

Ability to anticipate and address ethical, legal and risk implications of AI deployment and guide organizations and clients.

Bachelor’s degree in Computer Science or related field.

Preferred qualifications:

Experience with GenAI, LLM fine tuning and prompt engineering.

Exposure to AI governance and regulatory frameworks.

Experience in building and scaling up AI competency and practice.

MBA or business leadership exposure is a plus Experience and knowledge in delivering the following key focus areas:

Strategy & Vision:
Proven experience in defining and owning organizations AI roadmap aligned with business goals

Experience in identifying high impact AAI use cases across functions and evaluating emerging AI technologies for adoption

Experience in driving AI-first thinking across the organization.

Proven experience in leadership and team building:
Build, mentor and scale AI/ML/Data Science teams and establish best practices for model development, deployment and governance.

Proven…