AI Engineer

Job Description

Overview:

As an AI Engineer with expertise in Snowflake, you will play a key 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.

Respnsibilities:

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.

Additional Information

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

• a safe and inclusive working environment – supported by our Employee Resource Groups, which are open to all.

Our commitment to equity

Unit4 is committed to ensuring equal opportunity for everyone. We make our hiring decisions solely based on skills, qualifications, and our current business needs. We know that diversity brings fresh perspectives, ideas, and solutions to our company. This is the essence of our culture. We also welcome and encourage people who are pregnant and/or parents-to-be to apply. If you would like to know more about our commitment to diversity, visit our blogs:

• Our focus to DEI remains central to who we are

• Inclusive hiring at Unit4: Building equal opportunities for all

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. Questions? Feel free to reach out!