The Team:

You’ll join the Value Engineering team, a highly technical, strategic, customer-facing group that sits at the intersection of pre-sales, analytics, and transformation consulting. Value Engineers at Celonis are hands-on practitioners. They combine strong technical capability with consulting and stakeholder skills to guide customers through the full value journey — from first demo to long-term adoption and expansion.

The Role:

As an Applied AI Engineer (Pre-Sales) you are pushing the envelope in solving business-critical problems for our customers. You will be working with our most strategic customers, understanding their objectives and key challenges, and building Celonis solutions using the world’s leading Process Intelligence (PI) platform in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis’ Process Intelligence (PI) platform we feed operational context to AI so it understands our customers’ business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers.

The work you’ll do:

• AI Discovery & Solutioning: Understand customers AI strategy and business critical challenges. As Celonis product & domain expert, find the best problem-solution fit and translate customer requirements into innovative solutions that move the needle
• Hackathons & Prototyping: Think out of the box, have a „can-do“ attitude and don’t shy away from complex problems. Leverage cutting edge AI technologies to rapidly build creative prototypes in customer hackathons solving business critical problems
• Agentic Process Transformation: Support our customers in achieving real ROI out of AI deployments at scale enabling a fundamental shift in business operations from traditional, rule-based automation to the use of autonomous AI agents empowered by our Celonis Process Intelligence Platform
• Proof projects: End-to-end execution of business-critical Proof-of-Value projects, incl. architecture and deliver secure, scalable LLM/agent systems with RAG, tools, and guardrails; integrating with enterprise data, identity, and compliance frameworks.
• Ensure Successful Project Outcome: Applied AI Engineers stay involved with projects until agreed value & adoption thresholds are reached
• Specialize in Domains or Industries: To scale knowledge across the organization Applied AI Engineers specialize in domains (e.g. supply chain) and industries

The qualifications you need:

•  3+ years of experience leading technical pre-sales, including defining AI roadmaps, building compelling ROI/TCO business cases and prototyping of machine learning and generative AI solutions.
• Understanding of generative AI techniques like RAG, few shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning that are used to build high-impact use cases like intelligent chatbots and automated text processors.
• Understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases.
• Good knowledge of Python and common ML libraries (such as LangChain, pandas, pydantic, sklearn, PyTorch) as well as data engineering tools and technologies.
• Strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.
• Bachelor’s Degree required, Masters Degree in computer science, physics, engineering, mathematics or related fields, or equivalent work experience preferred.
• Hybrid working environment - 3 days per week at our central Milan offices.  

Nice to have (big plus):

• Hands-on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering, while ensuring safety through rigorous evaluations and guardrails.
• Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages.
• Experience in deploying and monitoring models at scale across major cloud platforms (AWS Bedrock, Azure AI, GCP Vertex)

Joining Capco means joining an organisation that is committed to an inclusive working environment where you’re encouraged to #BeYourselfAtWork. We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It’s important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table – so we’d love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help.

About Capco

Capco is a global technology and business consultancy, focused on the financial services sector. We are growing at fast pace in our Italian office, the opportunity for growth is large, accessible, and immediate. We are passionate about helping our clients succeed in an ever-changing industry. Capco is going through a significant growth journey, now is a very good time to join us as we expand our consulting team in Italy.

Role Description:

We are looking for a Generative AI Engineer to join our Data Analytics and AI team. You will be part of the GenAI workforce, responsible for defining strategy for Generative AI internally, and also helping shape and execute clients’ AI transformation agendas. You should have a strong background in machine learning/deep learning/AI and software engineering, and extensive professional experience as either as a consultant or similar advisory corporate role. 

Responsibilities

• Identify critical business problems that could be solved using Generative AI
• Define strategy for Generative AI and how to apply it
• Lead the design and build, and be responsible for engineering innovative GenAI products together with our cross-functional team
• Continually iterate and scale Generative AI products, whilst listening to the needs of the clients. Create technical standards and blueprint for AI scenarios.
• Educate the organization both from IT and the business perspectives on Generative AI.
• Mentor and nurture other engineers to help them grow their skills and expertise

Skills and Experience

Essential skills to succeed

• Experience working with large-scale language models
• Rich understanding of language models and transformers, vector stores and search algorithms
• Large-scale ETL development and engineering experience of high performance, large-scale ML systems
• Strong working knowledge of modern software development methodologies and software design pattern (e.g. end-to-end CI/CD process)
• Ability to communicate technical concepts effectively to client and partner teams.
• Confidence to convey technical advice and guidance to clients.

Bonus points

• Financial services industry experience
• Experience building applications and use appropriate prompting on generative AI models.
• You are a contributor to opensource and always thinking out of the box tooling, using and standardizing with methods of creating APIs , ML/Ops automation and more.
• Cloud fundamental or architecture accreditations

Why join Capco?

You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry.

We offer:

• A work culture focused on innovation and building lasting value for our clients and employees
• Ongoing learning opportunities to help you acquire new skills or deepen existing expertise
• A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients
• A diverse, inclusive, meritocratic culture

Location: Piazza Gae Aulenti 1, Milano (Garibaldi FS - Garibaldi M2 M5) 

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