# Solution Engineer / Professional Services Consultant

[Earnix](https://gurify.com/jobs?q=Earnix) · Paris, France · Posted today

[Apply on the original posting → (opens in a new tab)](https://www.comeet.com/jobs/earnix/93.00B/solution-engineer--professional-services-consultant/44.C68)

## Job description

As a Professional Services Consultant, you will play a pivotal role in driving client success by leveraging your technical expertise and business acumen. You will guide clients through platform deployment—including configuring conversational AI agents—ensure their needs are met, and identify opportunities for growth and expanded usage.

### What You'll Do

Collaborated closely with cross-functional teams across the organisation, conducting in-depth analysis of field-raised issues, providing temporary workarounds, and partnering with DevOps, R&D, Professional Services, and Product teams to drive permanent solutions and product improvements.

Collect and structure clients' needs (technical and functional) to ensure solutions align with their business objectives

Analyse, prepare, and validate data necessary for solution deployment

Configure the platform to fit client needs—build, design, and refine AI Applications

Guide and train clients in platform deployment, ensuring smooth implementation

Facilitate workshops, deliver user training, and support change management

Troubleshoot issues and answer customer tickets within Professional Services scope

Coordinate internally with sales & pre-sales, product, marketing, and engineering teams

### Requirements

### You'll Do It Using

1-2 years of experience, preferably in consulting or working directly with customers

Experience as a support engineer, ideally in a SaaS organisation in a B2B customer service/support setting

Experience with AWS, Google Cloud or Azure.

Excellent problem-solving skills with a desire to learn and take on responsibility

Understanding of modern LLM architectures (RAG, tools, agents, language models, API integrations)

### Data analytics and data management proficiency

Project management and delivery skills to ensure successful execution and client satisfaction

Strong customer relationship skills to build and maintain positive client interactions

Fluency in English and French with strong communication capabilities in both languages

A passion for technical tasks as well as business analysis, bridging the gap between technology and business needs

Degree in a relevant field (e.g., Computer Science, Data Science, Engineering)

### You'll Excel By

Demonstrating excellent project management skills, ensuring projects are completed on time and within scope

Exhibiting strong communication and interpersonal skills to collaborate effectively with clients and internal teams

### Showing a proactive approach to identifying and solving problems

Being adaptable and open to learning, continuously improving your skills and knowledge

### Managing multiple projects simultaneously with ease

### It's Even Better If

You have hands-on experience building or deploying AI applications

You possess AI agent knowledge: setting up agents, prompting, tuning model behaviour, implementing tools/integrations, retrieval, guardrails

You have experience in the financial services or SaaS industry

You enjoy data management activities and want to delve deeper into AI

### Position Intro

Earnix is the premier provider of mission-critical, cloud-based intelligent decisioning across pricing, rating, underwriting, and product personalization. These fully-integrated solutions provide ultra-fast ROI and are designed to transform how global insurers and banks are run by unlocking value across all facets of the business. Earnix has been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.

**Live in Earnix’s hiring system.** Read from the company's own applicant tracking system, not reposted from a job board — so it's a real, open requisition rather than an ad that outlived the role.

We remove it as soon as it disappears at source.

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