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Job Description
The Opportunity
Based in Hyderabad, join a globalhealthcare biopharma companyand be part of a 130- year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare.
Be part of an organization driven by digital technology and data-backed approaches that support a diversified portfolio of prescription medicines, vaccines, and animal health products.
Drive innovation and execution excellence. Be a part of a team with passion for using data, analytics, and insights to drive decision-making, and which creates custom software, allowing us to tackle some of the world's greatest health threats.
Our TechnologyCentersfocus on creating a space where teams can come together to deliver business solutions that save and improve lives. An integral part of our company’s IT operating model, TechCentersare globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy.
A focused group of leaders in each TechCenterhelps to ensure we can manage and improve each location, from investing in growth, success, and well-being of our people, to making sure colleagues from each IT division feel a sense of belonging to managing critical emergencies. And together, we mustleveragethe strength of our team to collaborate globally tooptimizeconnections and share best practices across the TechCenters.
Role Overview
We are seeking a Platform Maestro (Cloud & AI Architect) to join the Central Data & Analytics Office organization and help drive our transformational evolution. In this role, you will design, build, andoperatefull‑stacksoftware and platform solutions that move us beyond conventional BI towardAI‑driveninsights and experiences.
This role is ideal for someone who thrives on continuous improvement, enjoys automating repetitive work, and is constantly exploring innovative ways tooptimizeML Ops and AI tooling, while confidently challenging the status quo to deliver meaningful impact.
What will you do in this role:
Act as the Sherlock of infrastructure, designing cloud and AI platform architectures that solve complex business and technical challenges before they ever reach production.
Lead the design of platforms that support AI orchestration, including RAG and prompt chaining.
Drive FinOps practices, ensuring AI and LLM workloads scale efficiently through telemetry, usage analysis, and cost‑aware design.
Build andmaintaininternal developer tooling, including custom SDKs, to standardize how teams consume AI capabilities (e.g., authentication, logging, versioning). Productionize AI and LLM solutions end to end, including CI/CD pipelines, environmentpromotionand monitoring within a regulated pharma environment.
Automate operational and manual processes across cloud,MLOps, and AI platforms to improve reliability, repeatability, and developer productivity.
Act as a bridge between technical teams and business stakeholders by clearly communicating architectural designs, trade-offs, and impacts.
Primary skills (must-have)
Bachelor's degree in information technology, ComputerScienceor related field
7+ years of hands-on experience working in platform and infrastructure engineering
Primary skills (must-have)
Cloud platforms: AWS, Azure, Databricks
AI architecture & orchestration: LLM platforms, RAG, prompt chaining, model integration
Infrastructure-as-code & automation: Terraform/CloudFormation/ARM templates and CI/CD (Azure DevOps, Jenkins)
FinOps: Cost monitoring, optimization, usage‑based scaling, telemetry
DevOps & platform engineering: CI/CD, environment promotion, monitoring, operational guardrails
Developer tooling: Internal platforms, SDKs, authentication, logging, version management
Automation & reliability: Infrastructure automation,MLOpsworkflows, operational optimization
Solid knack foridentifyingand solving complex business problems
Speaking both “human” & “cloud” - ability to clearly explain technical designs to both tech colleagues as well as our stakeholders
Secondary skills (nice to have)
Experience withMLOpsor AI operations, including automation of model and platform workflows.
Experience implementing observability, logging, and telemetry for cloud and AI platforms.
A strong learning mindset, curiosity, and enthusiasm for staying current with emerging cloud, AI, and automation technologies.
Who we are:
We are known as Merck & Co., Inc., Rahway, New Jersey, USA in the United States and Canada and MSD everywhere else. For more than a century, we have been bringing forward medicines and vaccines for many of the world's most challenging diseases. Today, our company continues to be at the forefront of research to deliver innovative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world.
What we look for:
Imagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are among the intellectually curious, join us—and start making your impact today.
#HYDIT2025
Required Skills:
Preferred Skills:
Current Employees apply HERE
Current Contingent Workers apply HERE
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.
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