AI Engineer (Snowflake)

Unit4; Sliedrecht; Remote; EUR 55.000 - 75.000; Full time

Job summary

A leading cloud company seeks an AI Engineer specializing in Snowflake to design innovative AI solutions. The role involves developing AI models, integrating data sources, and building MLOps frameworks. Candidates should have experience in conversational AI and Python, with a focus on delivering scalable and secure AI applications. This position offers growth opportunities and a supportive, flexible work environment.

Benefits

Flexible Leave Paid Time Off

Remote working opportunities

Global Wellbeing Days

Commitment to sustainability

Qualifications

• Proven experience as an AI/ML Engineer with expertise in Snowflake.
• Experience in data integration, APIs, and ETL on Snowflake.
• Certifications in Snowflake or AI/ML are a plus.

Responsibilities

• Design, develop, and deploy AI/ML models for conversational AI and predictive analytics.
• Architect and implement data pipelines on Snowflake for AI/ML workloads.
• Build and maintain MLOps frameworks for CI/CD and model monitoring.
• Document AI engineering processes and collaborate with team members.

Skills

Conversational AI

Predictive analytics

MLOps frameworks

Python

SQL

Problem-solving

Data integration

Communication skills

Education

Bachelor’s or master’s in computer science, Data Science, AI

Tools

Snowflake

TensorFlow

PyTorch

Scikit-learn

Job description

Join Unit4 as an AI Engineer (Snowflake)

With over 40 years of heritage, Unit4 is an agile, fast-growing cloud company on a mission to redefine Enterprise Resource Planning (ERP) for mid-market people-centric organisations.

Our innovative, self-driving, adaptive and intuitive software enables our customers to spend more time on meaningful high-value work. At the heart of what we do lies a simple yet profound purpose: Improve how people work by focusing on what truly matters.

We’re shaping how work should feel, empowering our people by providing them with the right tools to achieve the autonomy they need—it's what makes us unique.

Who we are

We are a people-first community that nurtures all the areas that surround your working experience. With us, you’ll be surrounded by a high-performance team that supports your authentic self and celebrates your uniqueness. We believe that ‘How work should feel’ is an evolving statement. Work goes beyond tasks and everyday responsibilities—it’s about feeling valued, empowered, promoted, impactful, seen, and appreciated.

We are reimagining how work makes people feel.

Job Description

Overview:

As an AI Engineer with expertise in Snowflake, you will play a pivotal role in designing, developing, and deploying advanced AI solutions for our organisation. You will leverage your experience in conversational AI (chatbots and agents), predictive analytics, and building robust MLOps frameworks to drive innovation and operational excellence. Your ability to integrate AI solutions with cloud-based data platforms, especially Snowflake, will be essential for enabling scalable, secure, and high-performing AI systems.

Responsibilities:

1. AI Solution Engineering:
   • Design, develop, and deploy AI/ML models for conversational AI (chatbots, agents) and predictive analytics.
   • Build robust, production-grade AI pipelines that leverage Snowflake’s native capabilities (Snowpark, UDFs, external functions).
   • Continuously improve AI architectures for scalability, performance, and business alignment.
2. Snowflake Data Cloud Integration:
   • Architect and implement data pipelines on Snowflake to support AI/ML workloads, ensuring data quality, lineage, and governance.
   • Integrate diverse data sources into Snowflake, enabling real-time and batch AI applications.
   • Utilize Snowflake features (Streams, Tasks, Snowpark) for automated data processing and model inference.
3. MLOps & Automation:
   • Build and maintain MLOps frameworks for CI/CD, model versioning, automated retraining, and monitoring within Snowflake environments.
   • Ensure reproducibility, traceability, and compliance in all AI/ML workflows.
   • Monitor, optimize, and retrain deployed AI models for accuracy and efficiency.
   • Develop AI-driven automation solutions to streamline business processes and deliver actionable insights.
4. Security & Compliance:
   • Implement robust security and compliance controls for sensitive data in Snowflake, adhering to regulatory standards.
5. Collaboration & Enablement:
   • Document AI engineering processes, model architectures, and deployment workflows.
   • Collaborate with data engineers, scientists, and business stakeholders to deliver impactful AI solutions.
   • Mentor and support team members on best practices in AI/ML and Snowflake.

Qualifications

• Bachelor’s or master’s in computer science, Data Science, AI, or related field.
• Proven experience as an AI/ML Engineer with hands-on expertise in Snowflake.
• Strong background in conversational AI, predictive analytics, and MLOps framework development.
• Proficiency in Python, SQL, and modern AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Experience with Snowflake features (Snowpark, UDFs, Streams, Tasks).
• Strong problem-solving, optimization, and automation skills.
• Experience with data integration, APIs, and ETL on Snowflake.
• Excellent communication and collaboration skills.
• Certifications in Snowflake or AI/ML are a plus.

What we offer

• a culture built on trust and accountability - giving you the freedom and autonomy to be successful and make an impact
• balance - with our Flexible Leave Paid Time Off policy, remote working opportunities, Global Wellbeing Days, and other great benefits
• growth opportunities - we provide the tools and guidance required so that you can focus on what really matters to you and so, ultimately, you can achieve your best work
• talented colleagues, role models and mentors - work, learn and be inspired by some of the best talent in the software industry
• a commitment to sustainability - with initiatives such as our Environmental, Social, and Governance strategy and Act4Good programme

Background check:

This role may require security clearance required for customer projects and access to sensitive (customer) data. That means that after you have accepted our offer, we could ask for background checks. Subject to applicable local laws, such security checks may require disclosure of personal information including criminal record declaration, right to work, personal identification and work history. No worries – we\'ll handle it according to local privacy laws and keep your information safe.