Fullstack Data Engineer - Applied & Agentic AI Systems

F. Hoffmann-La Roche AG; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Roche is seeking a senior AI Data Engineer in Hyderabad to architect, build and operate scalable data pipelines for GenAI/LLM-enabled applications. You will handle multi-source data ingestion, vector databases, and graph data, ensuring secure, compliant workflows within cloud-native environments.

You will collaborate with AI/ML engineers and data scientists to integrate data pipelines with finetuning, inference and training processes, while driving performance, reliability and cost-efficiency

Qualifications

• 7+ years in data engineering, preferably supporting AI/ML applications
• Proficiency with Python for production-grade code and optimized SQL queries
• Experience designing scalable ETL/ELT pipelines and Lakehouse architectures
• Hands-on orchestration with tools like Airflow
• Experience with RAG, vector DBs and AI data pipelines
• Ability to transform unstructured data into structured, queryable formats
• Familiarity with SDLC in regulated environments

Responsibilities

• Collaborate in Agile teams to integrate LLMs into scalable, end-user applications
• Design and implement high-performance data pipelines for AI/GenAI workloads
• Work with vector databases to enable fast similarity search and RAG
• Leverage graph databases to support multi-hop reasoning and explainability
• Build cloud-native data solutions using AWS or Azure
• Design and optimize Snowflake storage/processing for analytics
• Develop real-time and batch data processing ETL/ELT pipelines
• Support AI model workflows with seamless data provisioning and governance

Skills

AI data engineering

Python

SQL

System architecture

Airflow

RAG

Vector databases

Git & CI/CD

Docker/Kubernetes

Education

B.Sc./B.Eng. in Computer Science or related

Tools

Snowflake

OpenSearch

AWS

Azure

Neo4j

Terraform

Cloud storage

Job description

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.

The Position Job description

Our Applied AI Engineering Team is seeking a fullstack AI Data Engineer to join a newly formed, autonomous development squad dedicated to pioneering agentic, LLM-based solutions. Operating across the entire lifecycle—from initial ideation and rapid prototyping to production-grade deployment and ongoing operations—you will architect the resilient data infrastructure required to power next-generation AI. We are looking for an expert capable of orchestrating both structured and unstructured datasets, implementing high-performance vector databases, and managing real-time streams within cloud-native environments.

Description of the area

At Roche Digital Technology, we are advancing the boundaries of Applied AI. The Applied AI Engineering Team focuses on architecting, building, and operating high-value AI solutions and services to solve complex business challenges in healthcare. In the 2026 tech landscape, we operate in small, highly autonomous agile teams (e.g., ~9 members) powered by advanced coding agents (like Claude Code) to develop and ship solutions faster than ever before. In this highly regulated environment, quality cannot be an afterthought. You will be the foundational pillar ensuring our rapidly developed agentic workflows and AI, GenAI, and agentic applications are safe, compliant, and robust before they reach the clinical or enterprise user.

Job Responsibilities

• Generative AI Application Co-creation: Collaborate with AI engineers, data scientists, product owners, and other developers in Agile teams to integrate LLMs into scalable, robust, fair, and ethical end-user applications, focusing on user experience, relevance, and real-time performance
• Data Infrastructure Development and Data Integration: Design and implement scalable, high-performance data pipelines for AI/GenAI applications, ensuring efficient data ingestion, transformation, storage and retrieval; integrate different databases, requiring understanding of data architectures / Domain data ecosystem
• Vector Databases: work with vector databases (e.g., AWS OpenSearch, Azure AI Search) to facilitate scalable, high-speed similarity search and RAG for generative AI applications with high-dimensional data.
• Graph Databases: Work with graph databases (e.g., Neo4j, AWS Neptune) to enable GraphRAG, support multi-hop logical reasoning for agentic workflows, and provide auditable explainability for enterprise AI decision-making.
• Cloud-Based Data Engineering: Build and maintain cloud-based data solutions using AWS (OpenSearch, S3) or Azure (Azure AI Search, Azure Blob Storage)
• Snowflake Implementation: Design and optimize data storage and processing using Snowflake for scalable, cloud-native analytics solutions
• Data Processing & Transformation: Develop ETL/ELT pipelines to enable real-time and batch data processing
• Support AI Model Workflows: Collaborate with AI/ML Engineers and Data Scientists to ensure seamless integration of data pipelines with AI finetuning, inference and training workflows
• Performance Optimization: Optimize data storage, retrieval, and processing strategies for efficiency, scalability, and cost-effectiveness
• Software Development Lifecycle: understand and leverage an agentic software development lifecycle (SDLC) in day to day work
• Security & Compliance: Implement data governance, security best practices, and compliance measures aligned with Roche’s standards
• Monitoring & Maintenance: Set up monitoring, alerting, and logging for data pipelines, ensuring high availability and reliability

Skills Must have

• Experience: 7+ years in data engineering, preferably supporting AI/ML applications
• Advanced Programming & SQL: Writing production-grade code in Python alongside highly optimized, complex SQL queries.
• Advanced System Architecture & Modeling: Designing scalable, fault-tolerant ETL/ELT data pipelines and Lakehouse architectures (e.g., Snowflake).
• Orchestration: Hands-on expertise with orchestration tools (like Airflow).
• Data Engineering in AI: Developing Retrieval-Augmented Generation (RAG), AI systems powered by Vector Databases and/or LLM fine-tuning, and data preparation
• Document Processing Proficiency: Extracting, transforming, and loading data from diverse file formats (PDF, DOCX, CSV, JSON, etc.), including automated parsing and information retrieval from unstructured and semi-structured documents
• Version Control & DevOps: Hands-on experience with Git, CI/CD, containerization (Docker, Kubernetes), and Infrastructure as Code (Terraform, CloudFormation)
• Problem Solving: Excellent analytical skills and the ability to tackle complex challenges with innovative solutions

Should have

• AWS Cloud Platforms: Hands-on experience with AWS (OpenSearch, S3, Lambda, AWS fundamentals)
• GraphDB: Experience in building solutions with GraphDB APIs
• Microservices: Ability to design and integrate RESTful APIs for data exchange
• Data Security & Governance: Understanding of encryption and role-based access controls
• Working in an SDLC environment meeting regulatory requirements
• Proficiency in best practices of software engineering
• Agentic SDLC & Engineering Excellence: Leverage AI coding assistants and autonomous agents (e.g., Claude Code, Ona) daily to accelerate full-stack development and testing cycles. Conduct rigorous code reviews for both human-written and AI-generated code.

Could have

• Regulatory Compliance: Proven experience in working within highly regulated industries.
• Data Science & Classical Machine Learning: Practical background in Data Science, encompassing feature engineering, model training, and data preparation leveraging traditional ML techniques.
• Distributed Data Processing: Hands-on expertise with big data frameworks (like Apache Spark or Flink).
• Capabilities: Problem-Solving Skills: Excellent analytical skills to tackle complex engineering and statistical challenges. Ownership & Leadership: Deep sense of accountability, eager to define architectural patterns, and able to step into a Tech Lead role when necessary. Consulting: Ability to work closely with stakeholders across the enterprise to consult on the technological approaches to their business problems. Ethics: Strong understanding of biases, fairness, hallucination mitigation, and responsible AI deployment.

Qualifications

hold B.Sc., B.Eng., or higher, or equivalent in Computer Science, Data Engineering or related fields have an interest in AI and stay up to date with the latest advancements in data engineering be team-oriented, proactive, and collaborative have strong analytical and problem-solving skills have excellent verbal and written communication skills be detail-oriented and highly organized be willing to learn and expand their skill set have the ability to work collaboratively in a fast-paced, dynamic environment be able to communicate in English at the level of C1+ Located in Hyderabad, India, with working hours structured to capture the 'golden hours' of overlap with Central European Time (typically running through the IST evening). #Hyd2026

Who we are

A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact. Let’s build a healthier future, together. We are passionate about transforming patients’ lives. We are courageous in both decision and action. And we believe that good business means a better world. That is why we come to work each day. We commit ourselves to scientific rigor, unassailable ethics, and access to medical innovations for all. We do this today to build a better tomorrow. We are proud of who we are, what we do, and how we do it. We are many, working as one across functions, across companies, and across the world.

Roche is an Equal Opportunity Employer.

We believe it’s urgent to deliver medical solutions right now – even as we develop innovations for the future.