AI Data Engineer

About Aptia

Founded to shape the future of pensions, health, and insurance solutions, Aptia is a leading professional services firm dedicated to simplifying complexity for businesses and individuals. We bring together cutting-edge technology and deep industry expertise to help organisations navigate an evolving landscape with clarity and confidence.​

With a presence in the US, UK, India, and Portugal, we support over six million people and more than 1,100 clients, delivering solutions that drive efficiency, enhance financial security, and provide peace of mind.​

Our strength lies in the combination of smart technology and expert teams, ensuring that managing pensions, health, and insurance is more effective. By focusing on innovation, accessibility, and client success, we help businesses take care of their people, so they can focus on what they do best.

And we are expanding. Aptia Group is not only fueled by our investors' backing but also by our commitment to foster the growth and success of our people. At Aptia, we're investing heavily in learning and development, paving unique career paths for our colleagues.

Specialist. Responsive. Thoughtful. Our values aren't just words; they are the backbone of our business. Our team embodies our values daily, to surpass client expectations, evolve constantly and nurture genuine relationships for the long-term. 

Job requirements

We are seeking a highly skilled AI Data Engineer to join our team and play a pivotal role in building and scaling enterprise data solutions. This position requires a strong foundation in software and data engineering, AI Engineering concepts along with the ability to quickly learn new technologies. You will work closely with expert platform engineers to design and implement data pipelines, enterprise applications, experience with prompt engineering

Location: This position is based in our Lake Mary, FL office as part of a hybrid working arrangement; you will be expected onsite three (3) days per week

What you'll be doing:

• Collaborate with platform engineers to design and build data pipelines, workflows, and applications on a cutting-edge enterprise data platform.
• Integrate diverse enterprise data sources (structured, semi-structured, and unstructured) into a unified data model.
• Leverage AI models, create prompts that can train foundation models
• AI-FDE/ AI powered accelerated development using Python and PySpark
• Develop scalable APIs, microservices, and application components to support business processes and analytics.
• Implement security, compliance, and governance controls aligned with enterprise policies.
• Partner with product owners, data scientists, and business stakeholders to translate requirements into technical solutions.
• Build AI powered intelligent data dashboards, and decision-support tools within the platform ecosystem.
• Optimize performance and reliability of data pipelines and platform integrations.
• Document technical designs, workflows, and best practices to support platform adoption.

What we're looking for:

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
• 5+ years of experience in software engineering, data engineering, or related technical roles.
• Proficiency in one or more programming languages (Python(mandatory) and PySpark)
• Good experience in prompt engineering and any prior experience of RAG and training models will be advantage
• Strong knowledge of SQL and experience with relational or NoSQL databases.
• Hands-on experience with cloud environments such as AWS, Azure, or GCP.
• Familiarity with RESTful APIs and integration patterns.
• Problem-solving skills and a demonstrated ability to learn new technologies quickly.
• Experience with enterprise data platforms (e.g., Databricks, Snowflake, or similar).
• Exposure to analytics, BI tools (Tableau, Power BI), or data visualization frameworks.
• Understanding of AI/ML workflows and tools (TensorFlow, PyTorch, SageMaker, etc.).
• Knowledge of DevOps practices (CI/CD pipelines, containerization, infrastructure as code).
• Background in regulated industries with a focus on compliance, data security, and governance.
• Collaboration and communication skills, with the ability to work across technical and non-technical teams.
• Highly adaptable and comfortable working in fast-paced, evolving environments.
• An analytical mindset with attention to detail and quality.
• Proactive and self-motivated, with the ability to take ownership of deliverables.

How to apply

If you are interested in this role, then we’d love to hear from you. Please go ahead and click apply and submit your resume with appropriate contact information.

Aptia is committed to creating a diverse, inclusive and equitable work environment. At Aptia, fostering an equitable and inclusive environment for all our people to flourish is a priority. We are an equal opportunity employer and aim to attract and retain the best people without attention to age, background, disability, ethnic origin, family duties, political affiliation, race, religion, gender and sexual orientation.

If there are any reasonable adjustments we can make to the recruitment process to ensure it is accessible to you, we encourage you to reach out to us.