Forward Deployed Engineer
KPMG International Limited
Get a reply from this employer
Your resume and cover letter, tailored to exactly what they’re hiring for.
Benefits offered by this job
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
Education
Tools
Job description
When you join KPMG Ireland, you are joining a community of over 4,200 employees who collectively work together, both in person and virtually, to achieve their full potential.
We are known as an organisation who want you to come as you are and do work that truly matters. Joining KPMG Ireland is an opportunity to enhance your career, not only in the work that you enjoy doing, but equally through the global connections that you make, the lifelong learning that you can accomplish and the chance to make your mark.
Location: Dublin 2, as part of our hybrid working model ((with potential travel to client sites)
Contract type: Perm
Our clients have moved past AI pilots. They want AI that runs in production, inside their own systems, and delivers measurable results. We are growing our Forward Deployed Engineering team to make that happen.
You work embedded with the client: you frame the problem with the people who own it, build the solution, and stay until it runs in production and delivers value. The role combines a consultant’s judgement with a senior AI engineer’s skills: an executive workshop in the morning, shipped code in the afternoon.
You will embed AI agents and GenAI solutions in client operations, and help modernise how KPMG delivers its own services. We build primarily on Microsoft (Foundry, Azure OpenAI, Microsoft 365 Copilot, Copilot Studio), alongside Anthropic’s Claude, and use other platforms where they fit better.
- 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.
- 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.
- A client‑facing technical role (consulting, solutions engineering or forward deployed) combined with hands‑on delivery.
- AI solutions taken from discovery to production, with measurable business impact.
- Embedded work in regulated sectors such as financial services, insurance or the public sector.
- AI governance and security, such as prompt injection defences and data leakage controls.
- A growing AI consulting practice and room to advance your career.
- A global network of AI professionals, with a major AI delivery centre in Ireland.
- Real client problems, solved side by side with the people who own them.
- Cutting‑edge tools, platforms and training.
- Competitive compensation and benefits.
KPMG offers a broad range of Data & AI services across a wide range of clients, globally. Our dedicated Data & AI practice works with our clients in providing a wide range of services, across industries and functions, that harness capabilities in data operating models including data governance structures and operations, data engineering, advanced analytics, artificial intelligence coupled with business domain expertise.
At KPMG, we understand that life is multifaceted. That’s why we offer a flexible benefits package designed to support your unique lifestyle. Our benefits include:
- Discounted Health Insurance: Prioritise your well-being with our health insurance options.
- Additional Annual Leave: Purchase extra leave to spend more time with friends and family or to travel.
- Enhanced Family Leave: Enjoy more time with your family with our generous leave options.
- Emergency Childcare Cover: For times when your regular childcare plans fall through
- Social Events: Connect and network with colleagues through our engaging social events.
- Early Finish Fridays: Start your weekends early on bank holidays and during the summer.
- Relocation Assistance: Smooth your transition if you’re moving to Ireland.
- Learning & Development: Access our extensive supports, including LinkedIn Learning, to grow your skills.
We also offer a variety of flexible working options to help you balance your professional and personal life.
From the moment you join KPMG, you’ll receive dedicated support from your performance manager to enhance your skills. Our award-winning Business School provides continuous learning opportunities to deepen your expertise.
We stand out as the only Big Four firm to announce promotions four times a year, offering you frequent opportunities for career advancement.
Inclusion, diversity, and equity are at the heart of KPMG. We celebrate diverse backgrounds, experiences, and perspectives, and we’re committed to fostering an inclusive and equitable environment at every level. Our goal is to attract and retain the best talent by building a culture where everyone can achieve their potential. Learn more about our commitment here - https://kpmg.com/ie/en/home/about/inclusion-diversity-equity.html
For any specific queries about the role, please contact Karine Vatuska.
For a glimpse into life at KPMG, follow #ExperienceKPMG on LinkedIn, Instagram, TikTok, and X.
'/%3e%3cpath%20d='M101.744%2012.4726L102.894%2016.1947L99.0021%2013.2201L101.744%2012.4726ZM105.3%208.40937H100.488L99.0026%203.59473L97.5116%208.41047L92.7%208.40385L96.5965%2011.3834L95.1055%2016.1942L99.0021%2013.2196L101.408%2011.3834L105.3%208.40992V8.40937Z'%20fill='white'/%3e%3cdefs%3e%3clinearGradient%20id='paint0_linear_5593_1381'%20x1='90'%20y1='9.44471'%20x2='99'%20y2='9.44471'%20gradientUnits='userSpaceOnUse'%3e%3cstop%20stop-color='%2300AD70'/%3e%3cstop%20offset='0.998594'%20stop-color='%2300B67A'/%3e%3cstop%20offset='1'%20stop-color='%23DCDCE6'/%3e%3c/linearGradient%3e%3c/defs%3e%3c/svg%3e){kind=small}
