Director, AI Engineering

KPMG

$190K — $220K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Minimum eight years of experience in AI/ML, data analytics, and cloud technology, preferably in consulting or tech leadership roles.
  • Advanced degree in computer science, data science, engineering, or a related field is preferred; a Bachelor's is required.
  • Deep knowledge of Microsoft, AWS, and Google Cloud's AI ecosystems and agent build functionality.
  • Proficient in architecting AI-powered workflow solutions using major cloud services, including model-agnostic architectures.
  • Skilled in designing multi-agent systems and chatbots integrated with enterprise applications.
  • Strong understanding of AI governance and MLOps practices, with the ability to balance technical and business insights.

Responsibilities

  • Lead AI solution development and transformation programs leveraging cloud AI services across industries.
  • Act as a trusted advisor to senior client stakeholders, shaping AI strategies and positioning KPMG's solutions effectively.
  • Oversee design and delivery of multi-agent GenAI systems, ensuring integration, quality, and security in workflows.
  • Advise clients on AI risk management and governance, ensuring compliance with regulations and security standards.
  • Drive business development for KPMG's AI portfolio, identifying opportunities and fostering alliances.
  • Manage and mentor cross-functional teams, promoting a culture of technical excellence and innovation.
  • Collaborate with major platform teams to enhance AI capabilities within respective ecosystems.

Benefits

  • Comprehensive and competitive Total Rewards program that includes various employee perks and benefits.
Full Job Description
What you will do

  • Lead end-to-end AI solution development or transformation programs using cloud AI services, enhancing customer experience, operational efficiency, and decision-making across various industries
  • Act as a trusted advisor to senior and C-level client stakeholders, shaping AI strategies and roadmaps while positioning KPMG's AI solutions as strategic enablers of business objectives
  • Oversee the design, architecture, and delivery of multi-agent GenAI systems, advanced Retrieval-Augmented Generation (RAG) architectures, and multimodal solutions, ensuring seamless integration, quality, scalability, and security within enterprise workflows
  • Advise clients on AI Risk Management, Governance, and Security, ensuring GenAI deployments comply with emerging regulatory frameworks and enterprise security standards (e.g., implementing guardrails and defending against LLM vulnerabilities)
  • Drive business development to expand KPMG's AI portfolio by identifying market opportunities, developing proposals, and securing new client engagements, while fostering strategic alliances
  • Manage and mentor cross-functional teams, promoting a high-performance culture, technical excellence, and career development, ensuring the team stays at the forefront of AI and cloud engineering technology advancements
  • Work closely with our Microsoft, Google, Salesforce, and other related platform teams to develop our AI capabilities and offerings within the relevant ecosystems
  • Set a clear strategic vision for AI strategy and engineering offerings, staying updated on the latest AI advancements (including frontier vs. open-weight models) and innovations, fostering a culture of innovation, and ensuring alignment with KPMG's digital strategy
  • Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment

What you bring to the role

  • Minimum eight years of recent experience in AI/ML, data analytics, and cloud technology, including leadership roles in consulting or technology organizations; AI certifications (for example: Professional AI Architect, Machine Learning Engineer) or equivalent are a plus
  • Advanced degree from an accredited college or university in computer science, data science, engineering, or related field preferred; minimum of a Bachelor's degree from an accredited college or university is required
  • Deep knowledge and hands-on experience with Microsoft, AWS, and/or Google Cloud's AI ecosystem (including agent build functionality) to design and orchestrate intelligent multi-agent systems, integrating complex RAG pipelines, and connecting GenAI to proprietary enterprise data (Knowledge Graphs, Vector Databases) that handle complex, dynamic tasks and conversations
  • Proficient in architecting and implementing AI-powered workflow solutions using Microsoft, AWS, or Google Cloud services (For example: Foundry, Bedrock, Vertex AI), and demonstrating a strong grasp of model-agnostic architectures leveraging both proprietary and open-weight foundational models for scalable, automated systems with expertise in agentic AI and automation
  • Skilled in designing multi-agent conversational and autonomous AI systems integrated with enterprise applications (CRM, ERP), enhancing customer engagement through smart chatbots and virtual agents to improve user experience and operational efficiency; experienced in conversational AI integration
  • Deep understanding of scaling AI-driven solutions, GenAIOps/LLMOps (including LLM evaluation frameworks, prompt versioning, routing, and cost optimization), AI governance, and MLOps practices for maintaining models; ability to bring industry consulting insights with a balance of technical and business acumen to deliver strategic, value-driven AI solutions; In-depth knowledge of AI orchestration and best practices


KPMG Ontario Region Pay Range Information

The expected base salary range for this position is $190,000 to $220,000 and may be eligible for bonus awards. The determination of an applicant's base salary within this range is based on the individual's location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

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