Position Overview  

We're seeking an Associate AI Engineer / AI Engineer to build and enhance data solutions and AI initiatives for the business of insurance.

In this role, you will work closely with the Principal Data Architect, Data Scientists, and Software Engineers to build, model, and maintain data solutions as we optimize data architecture and accessibility of large-scale datasets for our global teams. 

What You’ll Do

• Partner with Product, Engineering, and Data Science leaders to design and deliver AI-powered user experiences in our dashboard products
• Build and integrate conversational AI solutions (e.g., Vertex AI, Generative AI APIs) into Applied’s products
• Use AI tools responsibly (e.g., code assistance, test generation, analysis, and documentation) to accelerate velocity and improve quality while validation outputs and ownership of contributions to the customer experience
• Work with Google Cloud APIs, Vertex AI, and related services to enable intelligent workflows
• Prototype and implement AI-driven insights and recommendations directly in dashboards for client use
• Collaborate with UX and product teams to design seamless user experiences powered by AI
• Support development of generative AI prototypes, prompt design, and fine-tuned models
• Stay current on advancements in Google Cloud, conversational AI, and applied AI engineering
• Assist senior engineers and scientists on larger initiatives to scale AI capabilities across the platform

We’re Excited to Learn More About You  

• Hybrid: Ability to work from an Applied Systems office on an ad hoc basis, with remote work days for deep work.

• Must have:

• Strong programming skills in Python and SQL.
• Exposure to data science concepts (predictive modeling, ML/AI basics, or coursework/projects).
• Interest in applied AI, conversational AI, and building user-facing insights.
• Familiarity with cloud platforms (Google Cloud preferred) or willingness to learn quickly.
• Understanding of APIs and how applications connect to each other.
• Problem-solving skills with curiosity and eagerness to experiment and explore new technologies.

• Nice to have (but not required):

• Experience with Google Cloud tools such as Vertex AI, Dialogflow, or BigQuery.
• Familiarity with dashboards/visualization tools (Looker, Tableau, or Power BI).
• Version control knowledge (Git).

• Education: Bachelor's or Master's degree in a related field (e.g., Computer Science, Data Science, Engineering, or related field)
• We proudly support and encourage people with military experience, as well as military spouses, to apply. 

When You Join Team Applied, You Can Expect:  

A culture that values who you are and recognizes that you aren’t just an employee; you are a teammate, and you matter. We thrive on the benefits of our different experiences and celebrate the uniqueness our teammates bring to work with them every day.  

We flex our time together, collaborating remotely and in-person to empower our teams to work in the ways that work best for them.  

A comprehensive benefits and compensation package that centers our teammates and helps them to bring their best to work every day:  

• Medical, Dental, and Vision Coverage  
• Holiday and Vacation Time  
• Health & Wellness Days  
• A Bonus Day for Your Birthday  

 Learn more about the people behind our products at https://www1.appliedsystems.com/en-us/about-us/jobs/  

Our targeted starting base salary in the United States for this position ranges from $80,000 - $120,000. To determine a new team member’s starting pay, we consider a variety of factors, including someone’s depth, breadth, and variety of experience, skills, and responsibilities. Depending on the role, team members may also be eligible to participate in additional compensation plans such as bonus and commission.

Your Security Matters:   Our candidates’ personal information and online safety are top of mind for us. At Applied, we proactively protect your personal information and only communicate with candidates via a secure @appliedsystems.com email or through our official careers portal. Recruiters will never request payments, ask for financial account information or sensitive information like social security numbers.   

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