Artificial Intelligence Engineer

Impact you will make
Join a group of highly talented and motivated data scientists and data engineers with significant healthcare experience to help a thriving Healthcare function. Build a highly functional and efficient Agentic AI platform that brings together data, analytic insights, machine learning (ML) and AI tools to allow FinThrive to design and run complex automations in Healthcare business operations. Partner with internal business, product, and technical teams to analyze requirements to deliver solutions to complex issues. Participate in development and oversee maintenance of code to ensure consistency, quality, best practices, and performance of applications.

What you will do
Be a key member of a growing team (data scientists, data engineers, AI engineers) that designs and implements artificial intelligence solutions in a production environment, leveraging a variety of AI tools and ML algorithms
Design, build, maintain and deploy the infrastructure for AI-based solutions
Integrate solutions with existing systems and applications. Responsible for MLOps and DevOps to ensure scalability, reliability, and security of these systems
Implement automation tools and processes for Agent flows, RPA, GenAI, model training, testing, and deployment
Build tools and capabilities for model management and model performance monitoring
Collaborate effectively with the team and across cross-functional stakeholders
Model a high-performance culture with critical thinking, problem-solving, learning, collaboration, and experimentation within the team
What you will bring
Bachelor's degree completed in Computer Science, AI or a related field
3+ years of experience with AI, software engineering, MLOps, DevOps, or data engineering, in a professional role
Experience with document intelligence, generative AI, agentic AI, automation, NLP and machine learning
Experience with Azure DevOps, CI/CD, Terraform, Python and other scripting languages
Experience with integrating DevSecOps practices and principles throughout the project life cycle
Experience with Big Data technologies, cloud-based analytics, non-relational datastores, data visualization tools, and open-source tools for data processing
Experience with Agile methodologies (Scrum, Kanban) and project management tools such as Jira.
Travel required: Minimal (a couple of times a year)

What we would like to see
Experience with Databricks and Azure cloud platforms, UIPath, machine learning, and best practices
Experience in open-source AI/ML tools, frameworks technologies (for example, Meta, HuggingFace, Nemo, TensorFlow, PyTorch, scikit-learn, Apache MXnet, Spark MLlib, etc.)
Experience with predictive analytics in Healthcare, Insurance or Consumer Credit industry