AI Lead - Partner at KPMG Nederland

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

21 Apr, 26

Salary

0.0

Posted On

21 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Strategy Development, Solution Architecture, Risk Mitigation, Stakeholder Communication, AI Adoption, Talent Development, Agile Processes, Governance, Implementation, Thought Leadership, Product Lifecycle Management, Collaboration, Mentoring, Innovation, Networking, Training Programs

Industry

Business Consulting and Services

Description

ROLES & RESPONSIBILITIES AI Strategy Development: Partner with Audit Technology and Audit leaders to co-create a clear, actionable AI strategy aligned with business goals. Develop and own a standard AI solution architecture to serve as a guideline/ checklist for all AI developments, covering governance, risk, compliance Develop roadmap/ pipeline with specific milestones Build more focus on Multi-Agentic Solutions Development - partner network, customer selling through early engagements and co-design, develop Forward deployment engineers (FDE). Proven competencies in building business cases and selling and scaling AI solutions in different stakeholder scenarios (e.g. internal functional users/ external customer teams), owning and showcasing outcomes Implementation & Control – in collaboration with Audit Tech leadership : Proven network within tech partner ecosystems, examples of working closely with large AI TSPs like OpenAI, Google, Azure leadership and tech teams, co-development, early access Access to US start-ups and university ecosystems to gain access to test and build audit-specific solutions on their latest algorithms and model stacks, co-create IPs Implementation & Control – in collaboration with Audit Tech leadership (Continued) : Coordinate with IT and other stakeholders for successful implementation of AI technology. Development of standard practices for risk mitigation and taxonomies, along with large TSPs like Google, Azure, OpenAI partner teams Take inputs from target user groups and customers e.g. on their perceived risks while developing risk taxonomies, to manage agentic misalignment, agent behavior control, risk/ trust in agent orchestrators, AgentOps for continuous autonomous monitoring and observability Oversee the governance and control mechanisms for AI implementation, ensuring alignment to KPMG compliance and legal controls as needed. Workforce Development & AI Adoption. Lead the setup of the offshore AI center—define structure, roles, workflows, and culture. Hire top talent across AI/ML, engineering, product, and operations. Establish agile processes and governance to ensure speed, quality, and accountability. Develop Talent & Capability Develop and implement training programs to familiarize the workforce with AI concepts and tools. Training and certification partnerships with large TSPs like latest models from Google, AWS, Axure, OpenAI, Anthropic, Perplexity etc. Develop tech talent groups with strategic IT partners, US start-up’s, US and Indian universities, Mentor emerging leaders and foster a culture of experimentation and excellence. Foster a culture of innovative thinking and openness towards AI adoption. Monitor and report on levels of AI adoption across the organizations. Deliver Products That Matter Own the full lifecycle of AI products - Identifying & clearly articulating target customers and user groups and developing persona-focused AI solutions business cases, creating alpha/beta user groups within target customer functions, using their early inputs & feedback in design & dev-test- practice forward deployment engineering/ ship2build Engaging target power-users into developing & testing solutions and creating IPs, as co-designers, co-patenters Implement robust practices for scalability, reliability, and performance. Stakeholder Communication: Develop high visibility for team and leadership internally (Audit Technology Alliance, US Audit, US Digital & AI) and externally, within tech partners and talent supply sides and foster seamless AI integration, alignment of objectives and benefits tracking. Thought leadership: Maintain and continue to develop AI thought leadership - Early access programs, first port-of-call for tech providers, developing practice guardrails/ checklists, responsible and trusted AI testcase repositories, EVALS Publish Whitepapers, file for patents, present at various forums, represent KPMG at various industry/technology forums and initiatives.

Responsibilities

The AI Lead will develop and implement an AI strategy, oversee the governance and control mechanisms for AI implementation, and lead workforce development initiatives. They will also own the full lifecycle of AI products and ensure alignment with business goals.