Senior AI Engineer

Siemens; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Siemens in Bangalore is seeking a Senior AI Engineer to architect and deploy agentic AI pipelines, knowledge graphs, and retrieval systems. You will work on multi-environment deployments, with emphasis on data sovereignty and offline constraints, shaping intelligent industrial automation.

You will bring 5+ years of software engineering and 2+ years in production AI/ML, focusing on robust, scalable solutions and integration with Azure, Docker, and vector databases.

Qualifications

• Education: bachelor’s or master's degree equivalent.
• 5+ years software engineering experience and 2+ years building AI/ML applications in production.
• Experience with agentic/multi-step AI pipelines with human-in-the-loop and validation steps.

Responsibilities

• Build multi-step AI pipelines with orchestration frameworks, tool integration, and human approval checkpoints.
• Implement domain knowledge graphs, validation shapes, and ingestion pipelines.
• Create hybrid retrieval and citation pipelines with verifiable sources.
• Develop regression-gated evaluation harnesses and metrics pipelines.
• Deploy across on-premises, hybrid, and cloud configurations.
• Establish observability with structured logging, tracing, and monitoring for production AI systems.

Skills

Python

LLM orchestration

Knowledge graphs

Prompt engineering

Azure

Docker

Security/OAuth2

Vector databases

Local LLM inference

RDF

SPARQL

SHACL

Education

Bachelor's or Master's degree

Tools

Docker

Azure

Job description

Dear Aspirant!
We empower our people to stay resilient and relevant in a constantly changing world. We’re looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like you? Then it seems like you’d make a great addition to our vibrant international team.

Dear Aspirant!
We empower our people to stay resilient and relevant in a constantly changing world. We’re looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like you? Then it seems like you’d make a great addition to our vibrant international team.

We are looking for: Senior AI Engineer

You’ll make an impact by:

• Agentic workflow implementation - build multi-step AI pipelines with orchestration frameworks, tool integration, and human approval checkpoints
• Knowledge-graph engineering - implement domain knowledge graphs, validation shapes, and ingestion pipelines
• Retrieval and grounding - build hybrid retrieval and citation pipelines ensuring AI outputs trace to verifiable sources
• Evaluation infrastructure - create regression-gated evaluation harnesses and metrics pipelines
• Multi-environment deployment - implement and test across on-premises, hybrid, and cloud configurations
• Observability - structured logging, tracing, and monitoring for production AI systems.

Use your skills to move the world forward!

• Education bachelors or masters equivalent.
• 5+ years software engineering, 2+ years building AI/ML applications in production
• Built agentic or multi-step AI pipelines with human-in-the-loop and validation steps
• Implemented knowledge graphs or semantic data pipelines
• Delivered software across multiple deployment environments with data sovereignty or offline constraints
• Desired Domain Exposure
• Electrical power systems, protection engineering, or industrial automation
• Engineering data standards (IEC 61850, COMTRADE, or comparable)
• Safety-critical or regulated domains
• Technology Landscape
• Python
• Lang Graph / Lang Chain
• RDF
• SPARQL
• SHACL
• Azure
• Docker
• OAuth2/OIDC
• Vector databases
• Local LLM inference
• IEC 61850
• COMTRADE
• Python engineering Production-grade: async, clean APIs, testing, dependency management
• LLM orchestration Agentic frameworks, prompt engineering, tool-use patterns, stateful workflows
• Knowledge graphs RDF, SPARQL, SHACL or equivalent; graph data modelling and validation
• RAG and retrieval Vector databases, hybrid retrieval, chunking, reranking, citation enforcement
• Evaluation Eval harnesses, regression gating, golden datasets, experiment versioning
• Cloud and infra-Azure, containerization, CI/CD, local and cloud-hosted LLM inference
• Security OAuth2/OIDC, multi-tenant isolation, least-privilege patterns.

Create a better TomorrowWithUs!

This role is based in Bangalore, where you’ll get the chance to work with teams impacting entire cities, countries - and the shape of things to come.

We value your unique identity and perspective and are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. Come bring your authentic self and create a better tomorrow with us.

We’re Siemens. A collection of over 312,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and imagination and help us shape tomorrow.

Find out more about Siemens careers at: www.siemens.com/careers

Find out more about the Digital world of Siemens here: www.siemens.com/careers/digitalminds