Solution Engineer / Professional Services Consultant

Earnix; Paris; Sur place; EUR 70 000 - 110 000; Plein temps

Résumé du poste

Earnix is seeking a Solution Engineer / Professional Services Consultant to drive client success by combining technical skills with business insight. You will guide platform deployment, including configuring AI agents, and identify growth opportunities while delivering workshops and user training.

Responsibilities include collecting client needs, preparing data for deployment, configuring AI applications, and coordinating with sales, product, and engineering teams to ensure smooth implementation

Qualifications

• 1-2 years of consulting or customer-facing experience.
• Understanding of modern LLM architectures (RAG, tools, agents, language models, API integrations).
• Data analytics and data management proficiency.
• Degree in Computer Science, Data Science, or Engineering.

Responsabilités

• Collect and structure clients' needs to ensure solutions align with business objectives.
• Analyse, prepare, and validate data for solution deployment.
• Configure the platform to fit client needs—build, design, and refine AI Applications.
• Guide and train clients in platform deployment, including workshops and user training.
• Troubleshoot issues and answer customer tickets within Professional Services scope.
• Coordinate internally with sales, pre-sales, product, marketing, and engineering teams.
• Collaborate with cross-functional teams to drive permanent solutions and product improvements.

Connaissances

Consulting

Data analytics

Project management

Problem solving

Customer relationships

SaaS experience

Cloud platforms

Fluent English

Fluent French

Formation

Degree in Computer Science

Degree in Data Science

Engineering degree

Outils

AWS

Google Cloud

Azure

Description du poste

As a Solution Engineer / 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

• 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
• 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.

You'll Do It Using

• 1-2 years of experience, preferably in consulting or working directly with customers
• 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
• Excellent problem-solving skills with a desire to learn and take on responsibility
• Strong customer relationship skills to build and maintain positive client interactions
• Experience as a support engineer, ideally in a SaaS organisation in a B2B customer service/support setting
• Experience with AWS, Google Cloud or Azure.
• Fluency in English and French
• 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

• 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 A