Associate Director AI Activation

Merck & Co.; Rahway (NJ); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Merck & Co. seeks an Associate Director, AI Activation & Data Science to lead the technical design and production deployment of strategic AI initiatives within Digital Human Health.

You will drive LLM-based solutions, agentic systems, and guardrails, partnering with brand, ME, and analytics teams to deliver measurable business value. You will mentor teams, advance MLOps/LLMOps, evaluate AI frameworks, and stay ahead of AI landscape shifts, ensuring compliant, scalable, and responsible AI across

Qualifications

• 5+ years in AI/ML engineering or applied data science, with at least 2 years building generative AI/LLM-based solutions.
• Deep expertise in LLMs, RAG, embeddings, vector databases, prompt engineering, and fine-tuning.
• Proven track record taking AI solutions from prototype to production at enterprise scale with APIs and cloud services.

Responsibilities

• Lead end-to-end design and delivery of DHH-wide AI initiatives.
• Design generative AI and agentic solutions, including LLM apps and multi-agent workflows.
• Establish scalable architectures, guardrails, and MLOps/LLMOps practices with strong governance.

Skills

AI/ML engineering

LLMs

RAG

LangChain

Prompt engineering

MLOps/LLMOps

Python

SQL

Databricks

Git

CI/CD

Education

Master's or PhD in CS/DS/Engineering/Math/Stats

Tools

Google Cloud Vertex AI

Amazon Bedrock

Databricks

Git

Job description

Job Description

The Associate Director, AI Activation & Data Science is a member of the AI Activation team within Digital Human Health (DHH), supporting the Specialty, Pharma & Infectious Diseases business units. This role is designed for a highly technical AI leader with deep, hands-on expertise in building and deploying AI solutions, including generative AI, large language models (LLMs), and agentic systems, who is eager to apply that expertise to pharmaceutical commercial challenges. Working in close partnership with brand, marketing, Market Engagement (ME), and commercial analytics colleagues, this leader ensures AI solutions are grounded in real business needs. The Associate Director leads the technical design and delivery of strategic AI programs, defines scalable AI architectures and guardrails, and moves AI use cases from prototype to production with measurable business value, while upholding responsible AI, compliance, and governance standards.

Primary Job Function and Key Responsibilities

AI solution architecture and delivery

• Own the technical design and end-to-end delivery of DHH-wide strategic AI initiatives from ideation and prototyping through deployment and adoption.
• Design and build generative AI and agentic solutions, including LLM applications, retrieval-augmented generation (RAG), multi-agent workflows, tool and API integrations, and simulation or scenario-planning capabilities.
• Define scalable AI architectures, reusable components, and delivery guardrails so that AI use cases can be operationalized and democratized across ME teams.
• Establish rigorous evaluation approaches for AI solutions, covering accuracy, groundedness, reliability, latency, cost, and safety, and monitor performance in production.
• Lead MLOps/LLMOps practices, including versioning, CI/CD, monitoring, and model lifecycle management, in partnership with IT and platform teams.
• Stay current on the rapidly evolving AI landscape (models, frameworks, and tools) and assess which internal and external capabilities should be adopted.

AI enablement partnership and governance

• Run targeted AI pilots in prioritized areas of business impact (e.g., field and customer engagement tools, targeting support, forecast validation, barrier analysis, causal inference), rapidly prototyping and validating value with business partners.
• Partner closely with brand, ME, and commercial analytics teams to understand business needs and translate them into technical requirements and solution designs.
• Activate and guide external delivery partners and vendors, setting technical standards and reviewing solution quality.
• Apply a structured prioritization approach to triage AI requests, and guide teams toward approved enterprise AI tools and platforms.
• Champion responsible AI practices, ensuring solutions meet data privacy, security, model validation, and enterprise governance standards.
• Mentor team members and build technical AI capability across the business, establishing best practices for prompt engineering, agent design, and AI development.

Required Experience & Skills

• 5+ years of experience in AI/ML engineering, applied data science, or a related technical field, including at least 2 years of hands-on experience building generative AI or LLM-based solutions. Prior pharmaceutical or healthcare industry experience is required.
• Deep expertise in LLMs and generative AI, including RAG, embeddings and vector databases, agent frameworks (e.g., LangChain, LangGraph, Semantic Kernel), prompt engineering, and fine-tuning.
• Proven track record of taking AI solutions from prototype to production at enterprise scale, including solution architecture, APIs, cloud services for building AI and agents (e.g., Google Cloud Vertex AI, Amazon Bedrock ), and MLOps/LLMOps.
• Experience designing evaluation frameworks and guardrails for AI systems, grounded in responsible AI principles and governance.
• Advanced Python and SQL skills, experience with Databricks or similar platforms, and strong software engineering practices (e.g., Git, testing, CI/CD), backed by a solid foundation in machine learning and statistics.
• Explains complex AI concepts in plain business language to non-technical stakeholders and senior leaders, with a product mindset focused on user needs, adoption, and measurable business value.
• Aligns brand, ME, IT, and cross-functional stakeholders on priorities, and manages scope by redirecting out-of-scope requests while maintaining strong relationships.
• People and/or matrix leadership experience, including leading cross-functional teams, global collaborators, and external delivery partners and vendors.
• Strong organizational and project management skills; resilient and adaptable in ambiguity and a fast-moving AI landscape.

Qualifications

• Master's degree or PhD in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related technical discipline is required.

Required Skills

Business Case Development, Business Case Development, Business Intelligence (BI), Business Needs, Competency Development, Computer Science, Continuous Development, Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Design for Maintainability, Machine Learning (ML), Prioritization, Product Management Strategy, Product Requirements, Prototyping, Python (Programming Language), Scalable Architectures, Software Development, Solution Architecture, Solutions Delivery, Stakeholder Relationship Management, Standards Compliance {+ 3 more}

US and Puerto Rico Residents Only

Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities.

As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:

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We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another's thinking and approach problems collectively.

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Additional location(s)

Note that the salary range above applies to the Primary Location of the position. Where a role has other listed locations, different compensation guidelines may apply. You may find the salary ranges for additional locations below. If the salary range is not listed for the location you are applying to, our Talent Acquisition team will provide further information to you relevant to your location.

San Francisco Residents Only: We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance.

Los Angeles Residents Only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance.

Search Firm Representatives Please Read Carefully: Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.

Employee Status: Regular

Flexible Work Arrangements: Hybrid

Job Posting End Date: 11/4/2026

A job posting is effective until 11:59:59 PM on the day BEFORE - the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

Requisition ID: R423510