Senior Specialist – Semantic & AI Data Context Services

Job Description

The Opportunity

• Based in Hyderabad, join a global healthcare biopharma company and 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 organisation 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 Tech Center helps 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 aSenior Engineer / Architect who knows that AI unlocks value only atop a foundation of trusted data and rich context. You will turn raw IT Ops data into layered, contextualized intelligence-enabling the shift fromdescriptive to predictive to prescriptive decisioning and autonomous agents. Owning the architecture end-to-end,you'lldrive everything fromsemantic modelling, ontologies, knowledge graphs, and knowledge bases to agentic context servicing (MCP Server & Gateway) that exposes governed context to AI and BI solutions.

Key Responsibilities:

• Own theend-to-end architecture spanning the Semantic, Data Context, and Context Servicing layers for enterprise IT data.

• Design and publishER models -defining entities, attributes, keys, grain, relationships, and cardinality in collaboration with stakeholders.

• Developontologies, mapping business terms, DW tables from conceptual design to physical data models.

• Curate theknowledge base of reusable, governed business entities, semantic views, and BI-ready fields.

• Architect and implement theMCP Server and MCP Gateway to expose governed context to AI and BI consumers.

• BuildLLM orchestration capabilities, including synonym resolution, metricselection, and entity resolution.

• Develop theQuery Translation Engine / SQL Generator that converts natural-language questions into safe, governed, executable logic.

• Integrate theSecurity Engine to enforce access controls-row-level security, column masking, RBAC, and policy constraints-with full audit logging.

• Proficiencyin Python,PySparkfor semantic data processing, graph analytics, and AI-driven applications

• Experience with RDF and OWL for semantic modelling and ontology development.

• Partner withData Governance, Risk, Security, and Compliance to embed policies, controls, and audit trails across the context layers.

• Supportscenario-driven delivery, enabling agents to answer complex business questions withaccuratefacts and explanatory reasoning-the "what" and the "why."

• Collaborate with and guide fellow team members in building the semantic and context layers, providing technical direction, mentorship, and best-practice standards to uplift overall team capability.

REQUIRED QUALIFICATIONS:

• Bachelor's degree in information technology, ComputerScienceor any Technology stream.

• 7+ years of experience in platform engineering, cloud engineering, infrastructureengineeringand DevOps.

• Strong hands-on experience with AWS cloud technologies.

• Strong hands-onexpertisewithknowledge graph and graph database technologies, includingAWS Neptune.

• Experience withsemantic modelling / semantic layer platforms such asTimbrAI.

• Familiarity with data context, semantic systems, ontology-driven platforms, or knowledge graphs.

• Working knowledge of agentic AI, prompt engineering, and context engineering concepts.

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.

Required Skills:

Preferred Skills:

Current Employees apply HERE

Current Contingent Workers apply HERE

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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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