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 Technology Centers focus 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, Tech Centers are 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 must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centers . Role Overview We are seeking a Senior 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 from descriptive to predictive to prescriptive decisioning and autonomous agents. Owning the architecture end-to-end, you'll drive everything from semantic 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 the end-to-end architecture spanning the Semantic, Data Context, and Context Servicing layers for enterprise IT data. Design and publish ER models —defining entities, attributes, keys, grain, relationships, and cardinality in collaboration with stakeholders. Develop ontologies , mapping business terms, DW tables from conceptual design to physical data models. Curate the knowledge base of reusable, governed business entities, semantic views, and BI-ready fields. Architect and implement the MCP Server and MCP Gateway to expose governed context to AI and BI consumers. Build LLM orchestration capabilities, including synonym resolution, metric selection , and entity resolution. Develop the Query Translation Engine / SQL Generator that converts natural-language questions into safe, governed, executable logic. Integrate the Security Engine to enforce access controls—row-level security, column masking, RBAC, and policy constraints—with full audit logging. Proficiency in Python, PySpark for semantic data processing, graph analytics, and AI-driven applications Experience with RDF and OWL for semantic modelling and ontology development. Partner with Data Governance, Risk, Security, and Compliance to embed policies, controls, and audit trails across the context layers. Support scenario-driven delivery , enabling agents to answer complex business questions with accurate facts 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, Computer Science or any Technology stream. 7+ years of experience in platform engineering, cloud engineering, infrastructure engineering and DevOps. Strong hands-on experience with AWS cloud technologies. Strong hands-on expertise with knowledge graph