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About the Role

The KDN Solution Lead – AI will be a leader for AI offerings, instrumental in strategy, planning, directing, and controlling AI-associated solutions, evolving the portfolio, functions, and delivery of all AI portfolio of solutions. This role defines and provides strategic and technical direction for AI solution and delivery operations.

Responsibilities

• Develop and own the long-term strategy, value proposition, and differentiation for the AI solution and offering.
• Analyze market trends, customer insights, and the 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.
• Foresee AI’s long-term impact on industries and integrate it into organizational strategy.
• Champion customer advocacy and long-term value realization.
• Own the solution scale-up, utilization, center strategy, and P&L for the platform or solution portfolio.
• Be accountable for operational and Financial KPIs set for AI solution/service portfolio each FY.
• Define and own the organization's AI roadmap aligned with business goals.
• Identify high-impact AI use cases across functions and evaluate emerging AI technologies for adoption.
• Drive AI-first thinking across the organization.
• Build, mentor, and scale AI/ML/Data Science teams and establish best practices for model development, deployment, and governance.
• Foster a culture of experimentation, innovation, and continuous learning.
• Oversee the end-to-end AI solution lifecycle through to production.
• Ensure scalable AI/ML architecture and MLOps practices while ensuring responsible AI practices including ethics, bias mitigation, and compliance.
• Partner with business leaders and clients to prioritize AI initiatives.
• Present AI strategy and outcomes to clients and executive leadership.
• Collaborate with platforms, product, security, and data teams.
• Define AI governance frameworks for the organization.
• Ensure data privacy, regulatory compliance, and model transparency.
• Monitor model performance and risk.

Requirements

• Exposure to AI governance and regulatory frameworks.
• Experience in building AI business, solutions, and competency.
• Experience in Generative AI, LLM, and prompt engineering.
• Extensive experience in technology within an 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.
• Experience with GenAI, LLM finetuning, and prompt engineering.
• Experience in building and scaling up AI competency and practice.
• MBA or business leadership exposure is a plus.

Skills

• AI governance
• Regulatory frameworks
• AI business building
• AI solutions
• AI competency
• Generative AI
• LLM
• Prompt engineering
• AI/ML leadership
• ML frameworks
• Cloud platforms (AWS, Azure)
• ML algorithms
• AI architecture
• AI solution deployment
• Stakeholder management
• Executive communication
• Leadership
• People skills
• Digital transformation
• AI adoption
• Talent building
• Team mentoring
• Innovation
• Upskilling employees
• Ethical AI practices
• Fairness
• Transparency
• Bias mitigation
• Regulatory compliance
• Risk management
• AI roadmap definition
• AI use case identification
• Emerging AI technologies
• AI-first thinking
• Team building
• AI/ML/Data Science teams
• Model development best practices
• Model deployment best practices
• Model governance best practices
• Experimentation culture
• Continuous learning
• AI solution architecture
• AI solution delivery
• AI solution lifecycle management
• Scalable AI/ML architecture
• MLOps practices
• Responsible AI practices
• Executive stakeholder management
• Client partnership
• AI initiative prioritization
• AI strategy presentation
• AI outcome presentation
• Platform collaboration
• Product collaboration
• Security collaboration
• Data team collaboration
• AI governance framework definition
• Data privacy
• Model transparency
• Model performance monitoring
• Model risk monitoring

Experience Level

• Extensive experience in technology within in AI/ML leadership role

Education Level

• Bachelor’s degree in Computer Science or related field
• MBA or business leadership exposure is a plus

About the Company

• 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 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.

Equal Opportunity

• Everyone brings a unique perspective. We want to harness diverse thinking by bringing bright minds together and valuing the differences that lead to stronger insights and innovation.
• At KDN, we recognise that we need Inclusion, Diversity and Equality to be successful.
• We want to attract, retain and develop diverse talent at all levels.
• This means recruiting from the widest possible pool of talent, removing barriers that can prevent our people from reaching their full potential, and fostering a fully inclusive environment which maximises collaboration and empowers everyone at KPMG to bring their whole selves to work.
• We encourage authenticity, honour individual priorities, and respect your choices.