Note: The job is a remote job and is open to candidates in USA. Cardinal Health's Artificial Intelligence Center of Excellence is focused on using technology to improve healthcare. As an AI Engineer, you will build, test, and deploy cutting-edge artificial intelligence solutions on Google Cloud Platform, working closely with senior engineers to integrate Large Language Models and develop innovative AI systems.
Responsibilities
- Help build and configure GenAI applications utilizing the Vertex AI SDK and the Gemini model family
- Assist in building AI agents. This includes setting up Vertex AI Extension calls, defining function schemas for Gemini tool-use, and managing agent memory/reasoning loops
- Support the ingestion of unstructured enterprise data into Vertex AI Vector Search or BigQuery to power RAG and grounding mechanisms
- Design, test, and iterate on system instructions. Use Vertex AI's evaluation tools to check for response accuracy, safety, and hallucinations
- Assist in deploying and hosting lightweight AI APIs, agent endpoints, or microservices using Cloud Run or Cloud Functions
- Monitor and debug agent execution paths and API latency using Google Cloud Logging and Cloud Trace
- Actively research and stay up-to-date with the rapidly evolving GenAI landscape, bringing fresh ideas, open-source frameworks, and tools to the team
Skills
- Strong proficiency in Python and standard SQL
- Basic familiarity with Google Cloud Platform Infrastructure (e.g., Cloud Storage, Cloud Run, BigQuery)
- Basic exposure to Vertex AI Suite, Model Garden, Gemini APIs, or Vertex AI Vector Search
- Conceptual understanding of LLM prompt engineering, embeddings, and agentic workflows
- Comfort with Git, VS Code/Jupyter, and writing clean, modular Python code
- Strong mathematical and statistical skills
- Bachelor's degree in mathematics, Statistics, Engineering, Computer Science, other related field, or equivalent years of relevant work experience is preferred
- 1+ years of experience preferred
- Knowledge of clinical domain and datasets is a major plus
- Experience in Generative AI, RAG implementation, re-ranking, vector db, embeddings etc. is a plus
- Knowledge of Machine Learning and related technologies such as Tensorflow Python, Torch, Amazon SageMaker, Jupiter Notebooks, git
- Understanding of cloud data engineering and integration concepts
- Prior experience in Healthcare industry and knowledge of clinical data
- Experience with Google Cloud Platform
- Knowledge of software solutions such as data warehouses and integration platforms
- Knowledge of Agile development skills and experience
Benefits
- Medical, dental and vision coverage
- Paid time off plan
- Health savings account (HSA)
- 401k savings plan
- Access to wages before pay day with myFlexPay
- Flexible spending accounts (FSAs)
- Short- and long-term disability coverage
- Work-Life resources
- Paid parental leave
- Healthy lifestyle programs
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