Senior Analyst, AI Engineer

As an AI Engineer, you will play a key role in building, testing, and deploying cutting-edge artificial intelligence solutions natively on Google Cloud Platform (GCP). Working closely with senior engineers, you will leverage Vertex AI to integrate Large Language Models (LLMs), build Retrieval-Augmented Generation (RAG) pipelines, and develop Agentic AI systems (equipping Gemini models with tools, API access, and reasoning loops). This role is ideal for an early-career engineer who has strong Python skills, a solid grasp of foundational cloud principles, and a passion for building next-generation action-oriented AI., * GCP AI Development: Help build and configure GenAI applications utilizing the Vertex AI SDK and the Gemini model family.

• Agentic Workflows: 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.
• Data & Vector Pipelines: Support the ingestion of unstructured enterprise data into Vertex AI Vector Search or BigQuery to power RAG and grounding mechanisms.
• Prompt Engineering & Evaluation: Design, test, and iterate on system instructions. Use Vertex AI's evaluation tools to check for response accuracy, safety, and hallucinations.
• Cloud Integration: Assist in deploying and hosting lightweight AI APIs, agent endpoints, or microservices using Cloud Run or Cloud Functions.
• Observability & Debugging: Monitor and debug agent execution paths and API latency using Google Cloud Logging and Cloud Trace.
• Continuous Learning: Actively research and stay up-to-date with the rapidly evolving GenAI landscape, bringing fresh ideas, open-source frameworks, and tools to the team.

• Programming Languages: Strong proficiency in Python and standard SQL.
• GCP Infrastructure (Basic familiarity): Experience or projects utilizing Google Cloud Platform (e.g., Cloud Storage, Cloud Run, BigQuery).
• Vertex AI Suite: Basic exposure to Vertex AI Studio, Model Garden, Gemini APIs, or Vertex AI Vector Search.
• GenAI / Agentic Frameworks: Conceptual understanding of LLM prompt engineering, embeddings, and agentic workflows (experience with Python frameworks like LangChain, LangGraph, LlamaIndex, or Vertex AI Agent Builder is highly regarded).
• Developer Fundamentals: Comfort with Git, VS Code/Jupyter, and writing clean, modular Python code., * 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 preffered
• 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.
• Strong mathematical and statistical skills.
• 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., Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply.

Anticipated salary range: $80,500 - $103,410

Bonus eligible: No

Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being.

• 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

At Cardinal Health's Artificial Intelligence Center of Excellence, we're focused on using technology to improve healthcare. Our commitment to innovation, design, and a product-centric approach helps us create solutions that make a real difference. We're a team of passionate individuals who thrive in a culture of collaboration and continuous learning. We leverage cutting-edge technology and data insights to solve complex problems, forge new business models, and create products that truly impact the lives of our customers.