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KPMG UK

KDN Solution Lead - AI

London
Posted about 21 hours ago
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Job details

Location: London

Capability: International

Experience Level: Director

Type: Full Time

Business Area: KPMG International

Contract type: Fixed term contract


Job Description

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 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

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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

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Graduate Consultant — 2026 Scheme

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£35,000/yr

Why you're a good match

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Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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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 GenerativeAI, LLM and prompt engineering
  • Extensive 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 finetuning 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 ability to foster a culture of experimentation, innovation and continuous learning.
  • Knowledge in AI solution architecture and delivery: Experience in overseeing end to end AI solution lifecycle till production, leadership to ensure scalable AI/ML architecture and MLOps practices while ensuring responsible AI practices including ethics, bias mitigation and compliance
  • Proven experience in executive and stakeholder management: Experience in partnering with business leaders and clients to prioritize AI initiatives, present AI strategy and outcome to client and executive leadership, collaborate with platforms, product, security and data teams
  • Knowledge of governance and risk: Experience in defining AI governance framework for the organization, ensure data privacy, regulatory compliance and model transparency. Ensure and monitor model performance and risk.

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KDN is Inclusive!

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.

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Skills

AI Strategy
Generative AI
LLM
Prompt Engineering
ML Frameworks
AWS
Azure
MLOps
AI Governance
Stakeholder Management
Executive Communication
Digital Transformation
Risk Management
P&L Management
AI Architecture
Team Leadership

Location

London, England, United Kingdom

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