Co-op - Agentic AI Developer

Location: Durham NC

Labcorp is a global leader in laboratory services, providing the insights and answers that help healthcare providers, patients, researchers, pharmaceutical companies and health systems make confident decisions and improve outcomes. Through our unparalleled science, data, technology and laboratory network, we advance diagnostics, accelerate innovation and help address some of the world’s most important health challenges. As we shape the future of healthcare, we are leveraging advanced technologies, intelligent digital solutions and data-driven innovation across our operations to enhance how work gets done and deliver greater value to customers and patients. With our global scale and deep expertise, you’ll have the opportunity to do meaningful work, grow your career and make a real impact on people’s health around the world. Together, we’re improving health and improving lives.

Labcorp is seeking an Agentic AI Developer Co-op to join our Office of the Chief AI Officer (CAIO) Team located in Burlington, NC or Durham, NC with the flexibility of a Hybrid work schedule!

Work Schedule

Days/Hours: Monday through Friday / 40hrs per week

Job Responsibilities

Contribute to the development of AI agents using agentic frameworks (LangChain, LangGraph, CrewAI, AutoGen, or custom orchestration layers) that automate complex, multi-step business workflows across the enterprise

Help implement tool-calling architectures, function-calling interfaces, and MCP (Model Context Protocol) integrations that allow agents to interact with enterprise APIs, databases, and external services in a controlled and auditable manner

Support the build-out of retrieval augmented generation (RAG) pipelines with vector databases (Pinecone, Weaviate, pgvector, OpenSearch) to ground agent responses in authoritative enterprise data and reduce hallucination in high-stakes contexts

Assist with AI red teaming exercises including adversarial prompt injection testing, jailbreak resistance evaluation, tool-use abuse scenarios, and multi-turn manipulation testing to help identify vulnerabilities before agents reach production

Help build and test runtime guardrails, input/output validators, content filters, and human-in-the-loop approval gates that enforce safe agent behavior within a multi-layer defense-in-depth architecture

Support benchmarking and evaluation of frontier foundation models (GPT-4, Claude, Llama, Gemini, Mistral, and emerging open-source models) for agentic use cases, measuring task completion accuracy, latency, cost, safety, and failure modes

Contribute to observability and tracing infrastructure for agent execution including structured logging, token-level attribution, decision audit trails, and cost tracking across multi-agent workflows

Prototype agentic solutions on cloud AI platforms (AWS Bedrock, SageMaker, AWS AI DLC, Azure AI) using containerized deployments (Docker, Kubernetes), serverless architectures, and CI/CD pipelines

Support evaluation of AI startups and emerging agentic technology partners, helping with technical due diligence on architectures, safety postures, and enterprise integration feasibility

Contribute to AI governance practices including model onboarding documentation, agent risk assessments, responsible AI compliance, and alignment with regulatory requirements in healthcare and life sciences

Minimum Qualifications

Current enrollment in a Bachelor's or Graduate degree program in Computer Science, Software Engineering, Data Science, Cybersecurity or Information Systems

Preferred Qualifications

1-month plus familiarity with Python for software development, automation, or machine learning

1-month plus familiarity with cloud platforms (AWS, Azure) and services like Bedrock, SageMaker, or AWS AI DLC

1-month plus familiarity with containerization (Docker), version control (Git), and collaborative software development practices

1-month plus coursework or projects in distributed systems, cybersecurity, software engineering, multi-agent systems, or reinforcement learning

Additional Job Standards

Interest in large language models, prompt engineering, or transformer architectures (experience with OpenAI API, Anthropic API, Hugging Face, or LangChain)

Interest in agentic AI concepts including tool use, function calling, multi-step planning, chain-of-thought reasoning, or autonomous workflow execution

Interest in AI safety, AI security, adversarial testing, or responsible AI (familiarity with OWASP Top 10 for LLMs or prompt injection concepts)

Strong communication skills; both written and verbal

Show initiative and the ability to work independently under general supervision

Eagerness to learn how agentic AI is built, deployed, and governed inside a regulated enterprise where safety and reliability are non-negotiable

About the Team

Labcorp is becoming an AI-native life sciences company. The Office of the Chief AI Officer (CAIO) leads this transformation across the entire enterprise, improving the customer experience, enhancing productivity, and transforming how work gets done across the organization. Building AI agents safely, responsibly, and at enterprise scale is one of the most important technical challenges in the company. If you want to be part of a team that is figuring out how to build and deploy agentic AI in a regulated, high-stakes healthcare environment where safety and trust are not optional, this is the role.

This co-op role sits inside the Office of the CAIO and puts you at the center of how Labcorp is building, testing, and deploying agentic AI systems across the enterprise. You will work alongside senior engineers and data scientists on real agent development, contributing to projects that use frameworks like LangChain, LangGraph, CrewAI, and AutoGen, building on cloud platforms like AWS Bedrock, SageMaker, and AWS AI Deep Learning Containers (AI DLC), and working with frontier foundation models from OpenAI, Anthropic, Meta, and Mistral.