Merck currently has 27 active AI-related job listings. The majority of these roles, 41%, are focused on agents. Engineering is the most frequent function for these positions. The company is hiring for these roles in the United States, Czech Republic, and Singapore. Frequent technology tags include fine-tuning, RAG, and agent orchestration. In the last 30 days, Merck has posted 48 new AI roles, representing a 700% increase from the previous 30-day period.
Currently tracking 11 active AI roles, up 14% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $129k–$228k (avg $176k).
Merck currently has 34 active AI-related roles in our index. The most common open titles are: Senior Business Analyst – Automation, Analytics & AI (2), Specialist, Capability Innovation & Prototype (AI Content Delivery & Partnerships) (2), AI Developer, AI Engineer, AI Research Engineer. Most positions are in Engineering and Research.
Merck's active AI hiring is concentrated in: agents (38%), application (24%), data (24%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Merck is hiring AI talent in: India (11 roles), United States (7 roles), Czech Republic (7 roles), Singapore (5 roles).
Job postings at Merck most frequently reference: llm observability, model serving, fine tuning, rag, evals.
In the past 30 days, Merck has posted 48 new AI-related roles. That is a +66% change versus the prior 30 days (29 → 48).
| Title | Stage | AI score |
|---|---|---|
| Artificial Intelligence (AI) Ethics and Governance Specialist This role focuses on assessing AI systems for risks, recommending mitigations and guardrails, and testing AI models, agents, and systems for performance, safety, security, and explainability. It involves supporting the development and implementation of AI ethics policies and processes, and staying updated on AI developments and regulations within the healthcare domain. The role requires experience in AI ethics, trust and safety, and risk management, with a preference for hands-on coding experience in AI/ML and knowledge of XAI and regulatory landscapes. | AgentEval Gate | 7 |