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 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.
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 |
|---|---|---|
| Associate Director, Data and AI Studio Product Architect This role leads the evolution of an enterprise Data Engineering and Data Science ecosystem, focusing on an AI agent-driven unified development environment for Data Engineering, analytics, and AI/ML workflows. The architect will combine strategic technology leadership with hands-on architecture, defining and implementing reference architectures and driving the adoption of AI agent-driven practices. Responsibilities include developing architecture and product vision, overseeing solution architectures, driving adoption of new technologies, creating architectural blueprints, and actively participating in technical problem-solving and proof-of-concept development. | AgentData | 8 |
| Senior Specialist, Digital Reg Docs Tech Lead Senior Specialist, Digital Reg Docs Tech Lead at Merck, focusing on developing and integrating Generative AI solutions within R&D enterprise applications. The role involves designing, building, and maintaining production GenAI systems and data pipelines, with a strong emphasis on end-to-end model integration, data engineering, and application development in a regulated healthcare environment. Responsibilities include prompt engineering, fine-tuning, implementing retrieval approaches, building data pipelines, integrating models into applications, and establishing ML Ops workflows, while mentoring team members and ensuring compliance. |
| AgentData |
| 8 |
| Senior Specialist, Capability Innovation & Prototype (AI Content Delivery & Partnerships) This role focuses on leading hands-on exploration and prototyping of Generative AI-enabled and agentic content capabilities within a large healthcare biopharma company. The specialist will translate workflow needs into experiments, assess feasibility with partners, and prepare for scaling. Key responsibilities include capturing requirements, exploring GenAI/agentic capabilities, executing prototypes, documenting scaling factors, conducting vendor/platform research, and aligning cross-functionally with stakeholders like CEE, product, engineering, and compliance. | Agent | 7 |
| Associate Director, Automation Lead Associate Director leading the Enterprise Architecture AI/ML and automation function, responsible for strategy, execution, and delivery of scalable solutions. This role involves technical and people leadership, building and mentoring teams, and partnering with stakeholders to translate business strategy into technology outcomes. Key responsibilities include designing and building AI/ML pipelines, developing complex automation architectures, and working with generative AI technologies like RAG, LLMs, and vector databases. | Agent | 7 |
| Specialist, Automation Architect This role is part of an automation engineering team focused on building scalable and efficient solutions for the Enterprise Architect organization using Python and AI technologies. The individual will support the development of automation workflows and assist in implementing AI-driven solutions in a cloud environment, primarily AWS. Responsibilities include coding, testing, and maintaining automation solutions while collaborating with team members on assigned tasks. The role is ideal for candidates with 3–7 years of experience who are eager to learn, contribute to team deliverables, and grow in automation and AI space. | Agent | 7 |
| Senior Specialist, Automation Architect This role focuses on designing and delivering scalable AI/ML and automation solutions to support Enterprise Architecture initiatives within a global healthcare biopharma company. The individual will develop high-quality code, apply engineering best practices, and act as a technical expert on complex projects, with a focus on Generative AI technologies like prompt engineering, RAG, LLMs, and vector databases. | Agent | 7 |
| Specialist , Gen AI Software Engineering Software Engineer specializing in Generative AI and LLM-based solutions for biopharmaceutical R&D, focusing on regulatory document authoring, retrieval-augmented capabilities, and AI-enabled workflows. Responsibilities include designing, developing, testing, and supporting these solutions, building data pipelines, integrating models, and ensuring compliance in a regulated environment. | AgentData | 7 |
| Associate Specialist Digital SC Software Engineer This role involves building end-to-end ML models and Gen AI applications for the digital supply chain within a healthcare company. The engineer will collaborate with stakeholders, design ML systems, transform prototypes, and develop algorithms for predictive modeling, leveraging cloud platforms and data engineering skills. | AgentData | 7 |
| Senior Manager, GSF GenAI & Agentic AI Tech Lead Senior Manager, GenAI & Agentic AI Tech Lead at Merck, responsible for driving the delivery and integration of GenAI and automation capabilities within Global Support Functions. This hands-on role involves technical solution design, architecture, writing production code, building and deploying services, and ensuring operational stability for end-to-end GenAI and agentic AI solutions. The role requires collaboration with various teams, continuous refinement of RAG architectures, design of agentic workflows, and implementation of testing and observability. | Agent | 7 |
| Senior Specialist, Veeva QMS Technical Product Management This role focuses on designing, delivering, and optimizing Quality Management capabilities on the Veeva Vault QMS platform, with a significant emphasis on integrating AI and Agentic AI use cases within a regulated healthcare environment. Responsibilities include leading QMS transformation programs, delivering AI/Agentic AI solutions for classification, root cause analysis, risk prediction, and document review, managing DevOps pipelines, performing hands-on configuration and validation, and stakeholder management. The role requires experience with Veeva QMS, product management, and implementing AI/Agentic AI solutions in a GxP compliant manner. | AgentPost-train | 7 |