Position Overview

As part of the HR Technology team, Labcorp is seeking a hands-on Senior AI Developer with strong engineering and implementation expertise to design, build, and deploy AI-powered HR applications and enterprise capabilities. This role is execution-focused, reporting into the Director of HR AI Solutions & Architecture who owns strategy, architectural direction, and the HR AI roadmap. You will build applications, integrations, workflows, and RAG-based systems using IBM watsonx and modern AI/ML frameworks. You will partner closely with HR teams, engineers, and platform owners (Workday, ServiceNow, etc.) to develop and operationalize real AI products by translating defined designs and requirements into working, high-quality solutions at scale.

Key Responsibilities

AI Solution Implementation & Delivery
- Develop, test, and deploy full?stack AI applications using IBM watsonx and other AI/ML frameworks tailored to HR use cases (e.g., talent acquisition, employee experience & engagement, workforce analytics, learning & development, people operations, etc.).
- Build and maintain agentic workflows and orchestration layers that connect HR platforms such as Workday and ServiceNow.
- Implement APIs, microservices, and system integrations to ensure seamless connectivity across HR technologies.
- Develop RAG pipelines, vector stores, and embedding workflows, including observability and debugging tools for LLM applications
- Build backend and frontend components using Python, JavaScript/Node.js, and React as needed for AI-enabled applications.
Collaboration, Requirements Translation, & Execution
- Identify and prioritize use cases that align with business goals for AI-driven transformation.
- Collaborate with HR stakeholders to refine functional and technical requirements into build-ready specifications, use case definitions, and technical designs into working solutions.
- Document technical designs, implementation details, code, configuration, and integration patterns for operational support and organizational knowledge sharing.
Model & System Operations
- Monitor AI models for accuracy, reliability, performance, and potential bias. Support ongoing tuning and optimization.
- Maintain code quality through testing, peer reviews, and adherence to development standards.
- Troubleshoot production issues and ensure AI services operate reliably within the HR ecosystem.
Compliance, Security & Governance
- Implement AI solutions in accordance with security, data privacy, fairness, and ethical AI guidelines.
- Ensure integrations follow proper authentication standards (REST/SOAP, OAuth, etc.).
- Monitor and evaluate AI models for bias, accuracy, and performance.
Collaboration & Thought Partnership
- Work closely with engineering teams, HR process owners, HR technical teams, and enterprise IT partners to operationalize solutions.
- Provide technical guidance to HR team members learning how to adopt and use AI tools responsibly.
- Evaluate emerging AI technologies and trends with a focus on IBM watsonx and recommend innovative applications for HR, ensuring our HR function remains future-ready.

Qualifications

Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or related field.
Required Technical Expertise:
- Proven track record of delivering AI solutions integrating AI capabilities with enterprise systems, preferably in HR or related domains, (e.g HRIS, CRM, ERP, case management).
- Experience integrating AI capabilities with enterprise systems (e.g HCM, CRM, FIN ERP, LMS, case management, etc.).
- Strong software engineering skills with Python, SQL, JavaScript (Node.js, React), and cloud-native development (AWS, Azure, or GCP).
- Hands-on experience with AI/ML frameworks (PyTorch, TensorFlow, scikit-learn) and LLM platforms (IBM watsonx, OpenAI, etc.)
- Experience with prompt engineering, retrieval-augmented generation, agent memory, and MCP (model context protocol).
- Building RAG pipelines, vector stores, embedding workflows, and observability/debugging tools.
- Proficiency building secure REST and SOAP APIs and other system integration experience (OAuth, authentication, integration patterns, etc.).
- Develop and optimize LLM-powered skills, prompt templates, retrieval chains, and agent memory systems.
- Familiarity with RPA, workflow automation, orchestration tools.
- Understanding of NLP pipelines, embeddings, vector DBs.
- Strong understanding of API design, microservices architecture, and data engineering.
- JSON, JavaScript/Node, Python, SQL/Presto, Bash/CLI, Dockerfile, JavaScript/TypeScript, JSX, React Hooks,
- Prompt engineering (prompt templates, fewshot examples)
- Model invocation and tokenbudget control, index creation,upserts, and query tuning
Preferred Qualifications:
- HR domain knowledge and experience with enterprise SaaS platforms and integration landscapes (Workday, ServiceNow, LMS, etc.).
- Building and maintaining agentic solutions using agentic frameworks (e.g.LangChain, LangGraph, ADK, MCP, CrewAI, etc.).
Soft Skills
- Ability to convert conceptual requirements into practical technical solutions.
- Strong communication and collaboration skills across technical and non-technical teams.
- Commitment to quality, maintainability, and ethical AI practices.

Labcorp is proud to be an Equal Opportunity Employer:

Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law.

We encourage all to apply

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