Senior AI Engineer

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

Job summary

Siemens in Bangalore is seeking a Senior AI Engineer to design and implement agentic AI pipelines, knowledge graphs, and robust retrieval and grounding systems. You’ll also build evaluation harnesses, and enable multi-environment deployment with strong observability.

Ideal candidates have 5+ years in software engineering, 2+ years building AI/ML in production, and hands-on experience with Python, RDF/SPARQL, vector DBs, Azure, and on-prem/cloud deployment.

Qualifications

• Bachelor's or master's degree or 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.
• Experience with IEC 61850, COMTRADE, or comparable.
• Experience with Python engineering production-grade: async, clean APIs, testing, dependency management.
• LLM orchestration and prompt engineering in production environments.

Responsibilities

• 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.

Skills

Python

AI/ML Production

Human-in-the-loop

System architecture

Education

Bachelor's or Master's degree equivalent

Tools

Lang Graph / Lang Chain

RDF

SPARQL

SHACL

Azure

Docker

OAuth2/OIDC

Vector databases

Local LLM inference

IEC 61850

COMTRADE

Python production-grade tooling

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 #STS