Solution Engineer

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 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.