AI LLM Engineer

Siemens Healthineers

Hybrid

Quick summary

Work type: Hybrid
Location: Atlanta, GA
Salary: $93,680–$128,810 / yr
Posted: 1 day ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $206k

This role $111k

$75k most similar roles pay here $265k

This role pays less than 99% of similar roles. Most pay $165,962–$246,150 — the shaded band above. At the midpoint, this role pays about $111k versus about $206k for comparable roles.

Based on 240 similar postings.

Employer

About Siemens Healthineers

Siemens Healthineers is a leading global medical technology company, headquartered in Germany, that provides imaging, diagnostics, and artificial intelligence-driven solutions to healthcare providers.

Siemens Healthineers currently has 25 open roles on FindRole.

Listed pay typically runs $134,300–$184,657 across 23 roles with salary data.

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View all roles at Siemens Healthineers

At a glance

TL;DR · AI LLM Engineer

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Varian Medical Systems is seeking an experienced AI LLM Engineer to join their Analytics & Reporting team in Atlanta. This senior-level role involves designing and deploying large language model (LLM) powered applications using architectures like Retrieval Augmented Generation (RAG), tool augmented agents, and multi-agent workflows. The engineer will develop natural language interfaces over enterprise data platforms such as Snowflake and Power BI, build evaluation frameworks for AI systems, and collaborate with platform teams to ensure responsible AI practices. Key responsibilities include integrating traditional ML models with LLM-based systems, designing scalable production-grade AI solutions, and automating complex workflows using Python and orchestration tools. The ideal candidate has a background in AI/ML engineering, experience with Azure OpenAI/Azure AI Foundry, and familiarity with regulated industries like healthcare.

Skills

Python LLMFrameworks AzureOpenAI Databricks RAGPipelines PromptEngineering Snowflake PowerBI LangChain SemanticKernel MicrosoftCopilotStudio SQL VectorDatabases DataModeling ELTPipelines ModelDeployment CI/CD PowerAutomate MultiAgentOrchestration

What you'll do

Design and deploy LLM-powered applications using RAG pipelines and multi-agent workflows.
Develop AI copilots for natural language interaction over enterprise data platforms like Snowflake and Power BI.
Implement context management strategies including embeddings, vector stores, and retrieval optimization.
Build evaluation frameworks to assess prompt performance, answer quality, and system reliability.
Integrate AI systems with enterprise tools for automated reporting and stakeholder decision support.

What we're looking for

4+ years of experience in AI/ML engineering or data engineering roles
Proven experience building and deploying GenAI/LLM solutions in production
Strong understanding of LLM architectures, RAG, embeddings, vector databases
Experience designing scalable, production-grade systems in enterprise environments
Python proficiency with expertise in LLM frameworks and ML libraries
Deep knowledge of Azure Open AI/Azure AI Foundry or similar platforms
Strong SQL skills (Snowflake preferred) with query optimization experience

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