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…