Client-Facing AI Engineer: Deploy & Deliver in Production

KPMG International Limited; Dublin; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Discounted Health Insurance

Additional Annual Leave

Enhanced Family Leave

Emergency Childcare Cover

Social Events

Early Finish Fridays

Relocation Assistance

Learning & Development

Job summary

KPMG Ireland invites you to join our Forward Deployed Engineering team, embedding AI agents and GenAI in client operations to deliver production-ready solutions. You’ll frame problems with stakeholders, run discovery workshops and deliver measurable business value through AI-powered deployments.

You’ll work with Azure AI services, Claude, Copilot, and cloud platforms, shaping engagements from concept to production, while ensuring governance and security across projects.

Qualifications

• Strong Python. TypeScript or C# is an advantage.
• Hands-on experience shipping LLM applications: prompt and context engineering, RAG, tool use, agent frameworks (Microsoft Agent Framework, Semantic Kernel, Claude Agent SDK or LangGraph) and evaluation.
• Experience with Azure AI services (Foundry, Azure OpenAI, AI Search, Functions, Container Apps) and Microsoft 365 Copilot and Copilot Studio extensibility. Experience with Anthropic’s Claude, AWS or GCP is an advantage.
• Working knowledge of SQL, APIs, data pipelines, CI/CD, containers, infrastructure as code and LLMOps.
• Excellent written and spoken communication, and documentation and client deliverables of the highest quality.
• Confidence with senior business stakeholders: structuring ambiguous problems, running workshops and managing expectations.
• Experience driving training, change and adoption.
• A degree in Computer Science, Engineering, Physics or a related field, or equivalent experience. Azure AI Engineer or Azure Developer certifications are desirable.

Responsibilities

• Frame problems with client stakeholders and find where AI delivers measurable value.
• Run discovery workshops and turn the findings into a scope, success measures and a delivery plan.
• Engage senior business stakeholders: explain options, trade-offs, risks and costs, and present results at executive level.
• Shape new engagements: proposals, estimates, demonstrations and proofs of concept.
• Design, build and deploy AI agents, RAG solutions and LLM applications, from prototype to production.
• Integrate AI with client systems and data through APIs, connectors and MCP servers.
• Build in evaluation, observability, guardrails and cost monitoring from day one.
• Meet security, data protection and responsible AI standards, including the EU AI Act.
• Own solutions after go-live and improve them as usage grows.
• Write clear, high-quality documentation: solution designs, decision records, runbooks and user guides.
• Lead training and adoption, so solutions are used and deliver the value they were built for.
• Turn field lessons into reusable components and accelerators, and feed insight back to KPMG platform teams.

Skills

Python

TypeScript

C#

LLM applications

prompt engineering

RAG

agent frameworks

Azure AI services

Copilot Studio

Claude

AWS

GCP

SQL

APIs

CI/CD

containers

infrastructure as code

LLMOps

communication

stakeholder management

Education

Bachelor's degree in Computer Science/Engineering/Physics or related field

Azure AI Engineer or Azure Developer certifications desirable

Tools

Microsoft Agent Framework

Semantic Kernel

Claude Agent SDK

LangGraph

Azure OpenAI

Copilot Studio extensibility

AWS

GCP

Job description

KPMG Ireland invites you to join our Forward Deployed Engineering team, embedding AI agents and GenAI in client operations to deliver production-ready solutions. You’ll frame problems with stakeholders, run discovery workshops and deliver measurable business value through AI-powered deployments.

You’ll work with Azure AI services, Claude, Copilot, and cloud platforms, shaping engagements from concept to production, while ensuring governance and security across projects.