Summary written by USA Jobs 24 from Merck's advert and our data on 17,030 current US jobs. How we check every job
At a glance
Merck is hiring a Director, AI Platform & Agentic Engineering, AI & Genome Sciences in Cambridge, MA. It is a full-time hybrid role in Data, AI & Analytics, asking for at least 6 years of experience, first listed on November 4. The advertised pay is $194,100–$305,600 a year. The description mentions Agile, Databricks, CI/CD, Machine learning, AWS and Apache Spark. Merck has 99 other openings in the US, 5 of them in Cambridge, MA. Across all employers on USA Jobs 24 there are 18 Data & AI openings in Cambridge, MA today; the typical one asks for 5 years and advertises about $246,000 a year at the midpoint.
AgileDatabricksCI/CDMachine learningAWSApache SparkDockerKubernetes
How the pay compares
Merck advertises $194,100 to $305,600 a year, a midpoint of $249,850 a year. Where an offer lands in a range usually depends on experience and on the exact location. That is higher than about 82% of the 104 data & AI jobs in Massachusetts that publish a yearly rate on USA Jobs 24, where the typical midpoint is $180,000 a year. To see roughly what this leaves after federal and Massachusetts tax, try our take-home pay calculator.
Skills in this advert
How often each skill named in this advert appears across the 1,778 data & AI jobs we list today. Machine learning is the most widely requested (38% of jobs), while Docker is the least common (5%). Widely requested skills are what employers expect as a baseline; rarer ones show what is special about this job.
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Before you apply
- Check it is still open. We found this job on Merck's Workday site on November 4 and checked it again November 4, 5:17 AM ET. When an employer takes a job down, we remove it at our next daily update.
- Plan the commute. This is a hybrid role based in Cambridge, MA. Ask how many days a week you would be expected in the office.
- Match the experience. The advert asks for at least 6 years of experience. If you are a little short, a close match on the skills in the advert can still win an interview.
- Tailor your resume. Use the advert's own words, such as Agile, Databricks and CI/CD, wherever they are true for you. Our resume guide shows how.
- Know your number. Decide the lowest offer you would accept before the first call. Our salary negotiation guide explains how to ask for more.
- Apply only through Merck's own site. Our Apply button goes straight to Merck's Workday page. If anyone contacts you about this job and asks for money, gift cards or bank details, stop and check it with our scam checker. Read how to spot a fake job offer.
About hiring at Merck
Merck has 100 openings on USA Jobs 24 today across 20 states. Most are in data & AI (25), healthcare & pharma (20) and operations (16). The biggest locations are Rahway, NJ (51), North Wales, PA (19) and West Point, PA (19). 13% of them are remote, 6% are open to entry-level candidates and 95% show pay. We collect Merck's jobs every day straight from its own careers system (Workday), never from job boards or agencies.
The employer's advert
This is Merck's own description of the job, copied word for word from its careers site. We have not edited it.
Show the full advert from MerckHide the advert1,162 words
Job Description
AI/ML is central to our mission to accelerate target and biomarker discovery through a deeper understanding of disease biology.
We are seeking a Director, AI Platform & Agentic Engineering to build and lead the technical capabilities that allow scientists to rapidly develop, evaluate, and apply cutting-edge AI/ML methods. You will work across unique assets, including genome-scale perturbation data, proprietary foundation models, large-scale biological datasets, and experimental partnerships that enable model predictions to be tested in the lab.
This hands-on technical leadership role spans software and data engineering, scientific computing, foundation models, and agentic AI. You will build an agile research platform connecting multimodal data, knowledge graphs, scalable compute, and reusable AI tools to accelerate experimentation, reproducible research, and scientific discovery.
Primary Responsibilities:
- AI Platform & Research Engineering: Build and evolve the AI/ML research environment, developer tooling, and reusable capabilities that connect scientists with data, knowledge, compute, and models.
- Foundation Models & Agentic AI: Enable foundation model training, fine-tuning, and evaluation, and develop frameworks for AI agents, tool integration, retrieval, orchestration, and human-in-the-loop scientific workflows.
- Scientific Computing: Partner with IT and technology teams to provide flexible access to cloud, Databricks, GPU clusters, and other high-performance computing environments required for cutting-edge AI research.
- Agile Engineering: Own the SDLC for shared AI/ML tools and applications, establishing pragmatic standards for software architecture, testing, CI/CD, reproducibility, security, and maintainability to enable machine learning and data scientists.
- Technical Leadership: Remain actively engaged in architecture, prototyping, and implementation while mentoring engineers and supporting scientists in rapidly translating new AI approaches into scientific applications.
Required Qualifications:
- PhD in a relevant field such as Computer Science, Electrical Engineering, Data Science, Physics, Informatics, AI/ML, Mathematics, or a related STEM discipline, with 6+ years of industry experience, or Master's Degree with 10+ years of industry experience.
- Experience building AI/ML infrastructure, scientific software, or high-performance computing environments.
- Experience with cloud and computing technologies such as AWS, Databricks, Spark, Docker, Kubernetes, GitHub, and CI/CD.
- Strong software engineering expertise, particularly in Python, AI/ML frameworks, and modern software architecture.
- Experience developing GenAI and agentic AI systems, including frameworks such as LangGraph, Semantic Kernel, AutoGen, or equivalent.
- Experience with RAG, vector databases, knowledge graphs, and agent orchestration.
- Strong communication skills and ability to work effectively across scientific, engineering, and technology teams.
Preferred Qualifications:
- Advanced degree in Computer Science, Engineering, Machine Learning, Physics, or a related quantitative field, with significant industry experience.
- Hands-on experience with foundation model training, fine-tuning, and evaluation.
- Experience developing computational capabilities for biological or biomedical research.
- Experience creating internal scientific platforms, developer tools, or open-source software.
#EligibleforERP
Required Skills:
Agentic AI, Agile Engineering, Artificial Intelligence (AI), Computing Software, Data Engineering, Data Modeling, Data Science, Data Visualization, Deep Learning, Foundation Models, High Performance Computing (HPC), Kubernetes, Machine Learning (ML), Python (Programming Language), RAG Pipeline, Software Development, Software Engineering, Technical Leadership, Transformers DesignPreferred Skills:
Life Science, OmicsCurrent Employees apply HERE
Current Contingent Workers apply HERE
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. Please click here if you need an accommodation during the application or hiring process.
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:
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.
Learn more about your rights, including under California, Colorado and other US State Acts
The primary location for this posting is:
USA - Massachusetts - Cambridge (320 Bent Street)Where required by law, the compensation range for this role is provided below.
The salary range for the primary location of this role is:
$194,100.00 - $305,600.00This range reflects the Company's reasonable expectation of the base salary applicable to this role at the time of posting. An employee’s position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs. The successful candidate will be eligible for annual bonus and long-term incentive, if applicable.
We offer a comprehensive package of benefits. Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days. More information about benefits is available at https://jobs.merck.com/us/en/compensation-and-benefits.
Additional location(s): Please note 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.
Additional location(s) Compensation Information:
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:
RegularRelocation:
Domestic/InternationalVISA Sponsorship:
YesTravel Requirements:
10%Flexible Work Arrangements:
HybridShift:
Not IndicatedValid Driving License:
NoHazardous Material(s):
n/aJob Posting End Date:
11/30/2026*A job posting is effective until 11:59:59PM 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.
USA Jobs 24 copied this listing from Merck's official careers site on November 4, 2026 and checked it again November 4, 5:17 AM ET. Merck will never ask you to pay to apply or to buy equipment with a check they send you. If anyone does, it is a scam.
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