Specialist, AI Engineering

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   As a Senior/Principal AI Engineer, you will drive the end-to-end development of GenAI applications, including prompt engineering, fine-tuning, RAG pipelines, and LLM-based workflows, while ensuring   high standards   of performance, scalability, and responsible AI practices. You will provide technical leadership, mentor teams, and translate complex AI capabilities into impactful business solutions.

What will you do in this role :   Implement   Agentic AI systems   leveraging   frameworks such as   LangChain , Google ADK, Strands, and Semantic Kernel , enabling multi-step reasoning and task orchestration. Apply advanced   prompt engineering techniques   ( ReAct , few-shot learning, chain-of-thought, prompt chaining) to improve accuracy, determinism, and robustness of LLM systems. Build   multimodal AI solutions , integrating text with images or structured data to support complex enterprise use cases.

Apply   harness engineering practices   to systematically design, test, and evaluate AI/agent workflows across different scenarios. Develop reusable   agent tooling and integrations , enabling interaction with enterprise services, tools, and workflows, including   Model Context Protocol (MCP)   and   Agent-to-Agent (A2A)   communication patterns. Collaborate with cross-functional stakeholders to translate business problems into   scalable GenAI-driven solutions .

Leverage modern AI developer tooling such as   Claude CLI, GitHub Copilot, Vertex AI, and Codex   to accelerate development workflows. Support deployment and operationalization of AI solutions using   cloud platforms such as AWS and GCP . What should you have :   Masters in a relevant quantitative, applied field (Statistics, Econometrics, Computer Science, Mathematics, Engineering)    Minimum of 5 years of work experience in the end-to-end lifecycle of ML model development and deployment into production within a cloud infrastructure (Databricks is highly preferred).

Primary skills (must-have)     Expertise   in   RAG architectures , including embedding generation, retrieval optimization, grounding, and context management. Experience in   prompt engineering techniques     Experience implementing   AgentOps   practices , including observability, tracing, logging, and performance evaluation of AI systems. Strong Python programming