Director - AI Engineer

Responsibilities

Provide strategic and operational leadership for AI engineering teams to deliver enterprise-grade GenAI and agentic solutions. Define the AI engineering roadmap while ensuring scalable, secure, and governed architectures across the organization.

Requirements

Requires 15+ years of experience in software, data, and AI engineering with at least 5 years in senior leadership roles. Candidates must possess deep expertise in LLMs, MLOps, cloud-native platforms, and AI governance frameworks.

Skills

• Artificial Intelligence
• Machine Learning
• GenAI
• LLMs
• Python
• Cloud Computing
• MLOps
• LLMOps
• RAG Architectures
• Vector Databases
• Data Engineering
• Software Engineering
• Leadership
• Stakeholder Management
• AI Governance
• Prompt Engineering

About this role

Job Requirements

Mandatory Skills

* 15+ years of experience across software engineering, data engineering, and
AI/ML engineering, with 5+ years in senior technology leadership roles 

* Strong engineering foundation with hands‑on experience as an individual
contributor before transitioning into leadership 

* Proven experience building and scaling enterprise AI platforms, including
GenAI, ML, and intelligent automation solutions 

* Expertise in LLMs, GenAI architectures, agent-based systems, and AI workflow
orchestration 

* Hands-on understanding of prompt engineering, RAG architectures, vector
databases, embeddings, and context management 

* Experience implementing AI solutions on cloud-native platforms (GCP, AWS,
Azure), including managed AI services 

* Strong proficiency in Python, APIs, and modern engineering stacks; working
knowledge of Java/Scala/Go preferred 

* Deep understanding of MLOps / LLMOps, CI/CD for AI, model lifecycle
management, and observability 

* Experience with Responsible AI, AI governance, security, privacy, and
compliance, especially in regulated environments 

* Proven ability to lead large, distributed, multi-disciplinary teams and drive
organizational change 

* Strong stakeholder management skills and ability to engage with senior
leadership and client executives 

Primary Roles and Responsibilities

* Provide strategic and operational leadership for AI Engineering teams
delivering enterprise AI, GenAI, and agentic solutions 

* Define and execute the AI engineering vision, roadmap, and operating model
aligned with business strategy 

* Oversee the design and delivery of: 

* GenAI platforms and reusable AI capabilities

* AI-powered developer productivity and coding assistant solutions

* Agentic and workflow-driven automation systems

* Ensure scalable, secure, and governed AI architectures, including RAG,
orchestration layers, and enterprise context management 

* Partner closely with Data Engineering, Cloud Engineering, Product, Security,
Legal, and Risk teams 

* Drive adoption of MLOps / LLMOps best practices, including CI/CD, evaluation,
monitoring, and cost governance 

* Establish AI governance frameworks covering responsible AI, model risk,
explainability, auditability, and regulatory compliance 

* Promote a platform and product mindset, enabling reuse, standardization, and
accelerated delivery 

* Lead AI modernization initiatives, including migration from experimental AI
to production-grade enterprise deployments 

* Build and scale high‑performing teams through hiring, mentoring, and
leadership development 

* Define clear OKRs, KPIs, and success metrics for AI engineering initiatives 

* Represent the AI Engineering function in enterprise forums, client
engagements, and innovation councils 

* Drive collaboration, transparency, and a culture of continuous learning and
innovation

Preferred Skills

* Experience with enterprise GenAI platforms (Gemini, OpenAI, Azure OpenAI,
Vertex AI, Bedrock, etc.) 

* Exposure to AI coding assistants, developer copilots, and software
modernization using AI 

* Knowledge of data mesh or federated AI/data architectures 

* Experience working with regulated industries (Healthcare, Life Sciences,
BFSI) 

* Strong understanding of AI cost management, token optimization, and usage
governance 

* Demonstrated ability to influence at executive and board levels

About KPMG India

Business Consulting and Services · 10,001+ employees · headquartered in Gurugram, Haryana