Lead Aiml Engineer – Nlp

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 Lead Software Engineer AIML Engineer - NLP Generative AI You ll make an impact by Architect and lead the development of NLP and Generative AI solutions including LLM integration RAG pipelines and multi-agent frameworks Design and optimize retrieval systems using knowledge graphs and vector databases improving contextual accuracy and semantic relevance in RAG workflows Apply advanced techniques e g document chunking strategies rerankers hybrid retrieval query rewriting feedback loops to enhance RAG chain precision and reduce hallucinations Collaborate with ontology domain experts to integrate structured knowledge bases and semantic relationships into the solution stack Leverage modern frameworks like Lang Graph Lang Chain Llama Index Smol Agents and others for orchestrating agent-based and tool-augmented pipelines Incorporate AWS Bedrock Sagemaker Azure ML Studio Azure OpenAI Service and Azure AI Foundry for cloud-native scalability and operational efficiency Ensure high observability and maintainability of AI solutions through robust MLOps practices logging and model monitoring Lead code design reviews mentor team members and help shape long-term AI strategy and technical roadmaps Collaborate with product cloud software and data engineering teams to deploy impactful AI capabilities in real-world settings Use your skills to move the world forward Bachelor s or Master s degree in Computer Science Machine Learning AI or a related field 7 years of AI ML experience with 3-4 years in NLP and 2 years in Generative AI applications Expertise in designing production-grade RAG systems including single-agent and multi-agent architectures Solid understanding of LLM internals prompt engineering fine-tuning LoRA PEFT and use of open-source and hosted foundation models Experience with Knowledge Graphs graph databases e g Neo4j and semantic enrichment strategies Proficiency in Python and hands-on experience with frameworks like LangGraph LlamaIndex Transformers and SmolAgents Knowledge of vector databases e g Azure AI Search FAISS Weaviate Pinecone and search optimization techniques Familiarity with model observability tools evaluation frameworks and performance diagnostics Strong experience with AWS and or Azure managed services for AI development Experience incorporating ontologies taxonomies and domain-specific schemas in knowledge enhanced AI systems Prior exposure to industrial AI or Electrification Power sector challenges is a strong plus Knowledge of hybrid retrieval techniques combining symbolic and statistical methods Strong stakeholder engagement and mentoring capabilities Familiarity with compliance safety and ethical considerations in LLM deployments 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 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