Industry

Cities & Places

At Jacobs, we're challenging today to reinvent tomorrow by solving the world's most critical problems for thriving cities, resilient environments, mission-critical outcomes, operational advancement, scientific discovery and cutting-edge manufacturing, turning abstract ideas into realities that transform the world for good.

Your impact

- Design and develop data architectures and workflows that support AI and machine learning applications.
- Integrate structured and unstructured data from multiple sources, ensuring information is accessible, traceable, appropriately secured and fit for purpose.
- Build automated ingestion, transformation and processing pipelines using Python, SQL and appropriate cloud data services.
- Develop document-processing workflows, including extraction, parsing, metadata handling, chunking, validation and preparation for downstream AI applications.
- Implement retrieval-augmented generation (RAG) workflows, including data preparation, embedding generation, indexing, retrieval and integration with large language model (LLM) services.
- Work with vector search and indexing technologies, including Azure AI Search or equivalent services, where appropriate to the use case.
- Integrate foundation models and managed AI services such as Azure OpenAI or equivalent platforms into application workflows.
- Work with AI engineers, software developers, data scientists, solution architects and subject matter experts to translate business and engineering problems into practical solutions.
- Support evaluation of AI-enabled workflows through retrieval-quality checks, output validation, test datasets and repeatable evaluation processes.
- Implement logging, monitoring, error handling, security and performance controls for data and AI workflows.
- Support secure deployment practices, including identity management, secrets management and appropriate network controls.
- Contribute reusable components, technical patterns and reference implementations.
- Troubleshoot and improve deployed workflows, addressing data quality, integration, performance and reliability issues.
- Prepare technical documentation and communicate design decisions,



limitations and operational considerations.

Here's what you'll need

- At least 3 years of commercial experience in data engineering, software engineering, AI engineering or a closely related role.
- Strong programming skills in Python and practical experience with SQL.
- Experience building and maintaining ETL/ELT pipelines and integrating data from multiple sources.
- Practical experience with cloud-based data or application services; Microsoft Azure is preferred.
- Working understanding of machine learning and generative AI concepts, including model inference, embeddings and retrieval.
- Hands-on experience with RAG or document/knowledge retrieval applications, including some of ingestion, chunking, embedding, indexing or retrieval implementation.
- Experience integrating LLMs or managed AI services through APIs, such as Azure OpenAI or equivalent platforms.
- Understanding of relational databases, data lakes and appropriate data storage patterns.
- Familiarity with API development and integration, testing, Git and collaborative software development practices.
- Understanding of data quality, security, privacy and responsible use of enterprise information.
- Strong analytical and problem-solving skills and ability to explain technical concepts to stakeholders.
- Good written and spoken English and ability to work effectively with distributed teams.

Nice to have:

- Experience with Azure AI Search, Azure OpenAI, Azure Machine Learning or equivalent AI services.
- Experience with vector databases or vector search technologies, such as PostgreSQL with pgvector, Azure AI Search or equivalent platforms.
- Experience with orchestration frameworks or tools for LLM applications and agentic workflows.
- Experience with Microsoft Fabric, Azure Data Factory,



Azure Data Lake, Databricks, Apache Spark or PySpark.
- Familiarity with machine learning frameworks such as scikit-learn, PyTorch or TensorFlow.
- Experience with FastAPI or another Python web framework for exposing AI/data capabilities through APIs.
- Experience with Docker, CI/CD, automated testing, monitoring and application deployment.
- Familiarity with cloud security practices, including managed identities, Entra ID, Key Vault, private networking or equivalent services.
- Experience processing engineering documents, technical standards, drawings, reports or other complex enterprise information.
- Experience in engineering, infrastructure, utilities, transport or other complex technical domains.
- Relevant Microsoft, cloud, data or AI certifications.

At Jacobs we value people. Having the right balance of belonging, career and lifestyle enables us to consistently deliver and exceed clients’ expectations.

Working alongside industry leaders, you will have the chance to develop your career working on key projects in an environment which encourages collaboration, knowledge sharing and innovation. To support your professional growth, Jacobs flexible working arrangements, extended leave options and a host of social, health and wellbeing events and initiatives will underpin our commitment to you.

At Jacobs it’s all about what you do, not where you are, which counts!

We value collaboration and believe that in-person interactions are crucial for both our culture and client delivery. We empower employees with our hybrid working policy, allowing them to split their work week between Jacobs offices/projects and remote locations enabling them to deliver their best work.

Your application experience is important to us, and we’re keen to adapt to make every interaction even better. If you require further support or reasonable adjustments with regards to the recruitment process (for example, you require the application form in a different format), please contact the team via Careers Support .

Locations

City State Country
Bangalore All IN Regions India

📌 Sr. AI Data Engineer (Bengaluru)
🏢 Important Company of the Sector
📍 Bengaluru