AI Solutions Engineer - SaaS Professional Services

Earnix; Paris; Hybrid; EUR 60,000 - 90,000; Full time

Job summary

Earnix is seeking a Solution Engineer / Professional Services Consultant in Paris to guide clients through platform deployment, including configuring AI agents and ensuring adoption. You will work with DevOps, R&D, and product teams to drive improvements and expand usage.

You will collaborate with customers to translate technical and business needs into deployable solutions, train users, and coordinate with Sales, Product, and Engineering to ensure successful outcomes.

Qualifications

• 1–2 years of experience in consulting or customer-facing roles.
• Experience as a support engineer in a SaaS, B2B setting.
• Experience with AWS, Google Cloud or Azure.
• Fluency in English and French; strong communication skills.
• Degree in Computer Science, Data Science or Engineering.

Responsibilities

• Guide clients through platform deployment and AI applications.
• Configure platform to fit client needs and build AI apps.
• Train clients in deployment and manage change processes.
• Collaborate with sales, pre-sales, product and engineering teams.
• Troubleshoot issues and respond to tickets within Professional Services.

Skills

Customer focus

Problem solving

Cross-functional

Stakeholder mgmt

Bilingual EN/FR

Education

Bachelor's degree in CS/DS/Eng

Tools

AWS

Google Cloud

Azure

Job description

Solution Engineer / Professional Services Consultant

Paris, FR Customer Operations

Position Intro

Earnix is the first AI company purpose-built for insurance decisioning, providing the industry with the intelligence, governance, and decisioning agility to drive profitable growth, improve resilience, and operate with speed and precision in a rapidly changing risk environment. A trusted provider of production-grade AI and decisioning technology, Earnix builds on more than 25 years of experience in artificial intelligence risk, pricing, rating, analytics, and decisioning. Earnix brings vertical AI into the workflows and decisions that shape insurance performance across insurers’ pricing, underwriting, claims, customer engagement, retention, and other insurers high-value insurance moments. Earnix’s AIOS enables insurers to orchestrate intelligence across the insurance decision lifecycle and drive governed, real-time decisions that deliver measurable business outcomes. Earnix is headquartered in Boston, MA and 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.

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