4 days ago
Base Salary
$157k - $247k/yr
Responsibilities
- Own the technical design and end-to-end delivery of strategic AI initiatives from ideation and prototyping through deployment and adoption.
- Build generative AI and agentic solutions, including LLM applications, RAG, multi-agent workflows, tool and API integrations, and simulation capabilities.
- Define scalable AI architectures, reusable components, delivery guardrails, evaluation frameworks, and production monitoring practices.
- Lead MLOps and LLMOps practices, including versioning, monitoring, and model lifecycle management.
- Run AI pilots for commercial use cases such as customer engagement, targeting support, forecast validation, barrier analysis, and causal inference.
- Translate business needs into technical requirements and solution designs in partnership with brand, Market Engagement, commercial analytics, IT, and other stakeholders.
- Set technical standards for external delivery partners and vendors, review solution quality, and prioritize AI requests.
- Champion responsible AI, data privacy, security, model validation, and enterprise governance standards.
- Mentor team members and build organizational capability in prompt engineering, agent design, and AI development.
Requirements
- At least 5 years of experience in AI/ML engineering, applied data science, or a related technical field, including at least 2 years building generative AI or LLM-based solutions.
- Prior pharmaceutical or healthcare industry experience is required.
- Deep expertise in LLMs, generative AI, RAG, embeddings, vector databases, agent frameworks, prompt engineering, and fine-tuning.
- Proven experience taking AI solutions from prototype to enterprise-scale production, including solution architecture, APIs, cloud services, and MLOps/LLMOps.
- Experience designing AI evaluation frameworks and guardrails based on responsible AI principles and governance.
- Advanced Python and SQL skills, experience with Databricks or similar platforms, and strong software engineering practices.
- A solid foundation in machine learning and statistics, with the ability to explain complex AI concepts to nontechnical stakeholders and senior leaders.
- Experience aligning cross-functional stakeholders, managing scope, and maintaining stakeholder relationships.
- People or matrix leadership experience with cross-functional teams, global collaborators, and external partners or vendors.
- Strong organizational, project management, adaptability, and prioritization skills.
- A master's degree or PhD in computer science, data science, engineering, mathematics, statistics, or a related technical discipline is required.
Benefits
- Comprehensive medical, dental, vision, healthcare, and other insurance benefits for employees and families.
- Retirement benefits including a 401(k), paid holidays, vacation, and compassionate and sick days.
- Hybrid work arrangement.
- Regular employee status.
- Primary location is Rahway, New Jersey, with additional locations potentially subject to different compensation guidelines.
Categories
About Merck
Merck & Co. is a publicly traded biopharmaceutical company that discovers, manufactures, and sells prescription medicines, vaccines, and animal health products to healthcare systems, physicians, and governments worldwide. Known as MSD outside the U.S. and Canada, it develops products across oncology, vaccines, infectious diseases, and cardiometabolic conditions, including the cancer therapy Keytruda. Founded in 1891 and headquartered in Rahway, New Jersey, it operates global R&D and manufacturing networks and is listed on the NYSE (MRK).