AI LLM Engineer

Join us in pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably. Our inspiring and caring environment forms a global community that celebrates diversity and individuality. We encourage you to step beyond your comfort zone, offering resources and flexibility to foster your professional and personal growth, all while valuing your unique contributions. Varian Medical Systems, a Siemens Healthineers company is hiring for an AI LLM Engineer. This role is ideal for experienced engineers specializing in Applied AI, Large Language Models (LLMs), and intelligent automation, with a strong foundation in data platforms such as Snowflake and modern analytics ecosystems like Power BI/Fabric. The position focuses on designing, building, and operationalizing AI‑driven solutions, including RAG pipelines, enterprise copilots, and agent‑based automation frameworks, to transform how the Analytics & Reporting team delivers insights and interacts with data. You will partner with business stakeholders, data engineers, and platform teams to build production‑grade AI systems that enable natural language interaction, automate complex workflows, and enhance self‑service analytics at scale. This role is well suited for someone evolving from data engineering, ML engineering, or analytics engineering into AI platform ownership, agentic system design, or enterprise GenAI leadership. This role is designed to be onsite in Atlanta, Georgia with some remote/hybrid flexibility. What You will do: AI / LLM Engineering & Agentic Systems Design, build, and deploy LLM powered applications using architectures such as Retrieval Augmented Generation (RAG), tool‑augmented agents, and multi‑agent workflows Develop AI copilots and natural language interfaces over enterprise data platforms (Snowflake, Power BI datasets, Fabric/OneLake) Build and orchestrate AI agents using frameworks such as: LangChain / LangGraph Semantic Kernel Microsoft Copilot Studio Azure AI Foundry Implement context management strategies (embeddings, vector stores, retrieval optimization, chunking, ranking) Design tool integrations enabling agents to query data, trigger workflows, and interact with enterprise systems Develop evaluation frameworks for prompt performance, answer quality, hallucination mitigation, and reliability Collaborate with platform and governance teams to ensure responsible AI practices, security, and compliance Applied Machine Learning & Intelligent Automation Build and deploy ML models for forecasting, anomaly detection, and predictive analytics Integrate traditional ML with LLM based systems to enable hybrid intelligence workflows Develop Python based pipelines for model training, evaluation, and deployment Apply prompt engineering, fine tuning strategies, and model orchestration techniques to improve system performance Data Platform Integration (Snowflake, Fabric, Power BI) Enable AI systems to interact with structured data using optimized SQL queries and semantic models Design AI‑ready data layers (feature stores, curated datasets, vector indexes) on Snowflake Collaborate with data teams to ensure high quality, well‑modeled data pipelines that support AI use cases Integrate with Power BI/Fabric to deliver solutions with NL querying and automated insights Automation & Workflow Orchestration Build intelligent automation using Python, APIs, and orchestration tools Develop agent driven workflows for: Automated reporting Data quality monitoring Stakeholder Q&A and decision support Integrate AI systems with enterprise tools (ServiceNow, Salesforce, etc.) for end‑to‑end automation Collaboration & Communication Work across business, analytics, and engineering teams to identify high‑impact AI use cases Translate technical AI solutions into clear business outcomes and value propositions Present architecture decisions, trade‑offs, and governance considerations to stakeholders Contribute to best practices, reusable components, and internal AI knowledge sharing What You will have: Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related quantitative field 4+ years of experience in AI/ML engineering, data engineering, or advanced analytics roles Proven experience building and deploying at least one GenAI/LLM based solution in production or near production Strong understanding of LLM architectures, RAG, embeddings, vector databases, and prompt engineering Experience designing scalable, production‑grade systems in enterprise environments Strong problem‑solving and communication skills with the ability to connect AI solutions to business outcomes Technical Skills Python (required) with experience in LLM frameworks and ML libraries Deep understanding of RAG pipelines, Prompt Engineering and evaluation, Agent‑based architectures Experience with Azure Open AI/Azure AI Foundry, Databricks or similar platforms Strong SQL (Snowflake preferred) with query optimization experience Experience integrating AI with structured data systems Familiarity with data modeling, ELT pipelines, and data warehousing concepts Understanding of model deployment, monitoring, and evaluation in production What will set you apart: Experience building enterprise copilots or conversational AI systems Familiarity with Microsoft Fabric, OneLake, and Direct Lake architectures Experience with Power Automate, Power Apps, or low‑code integrations Knowledge of multi‑agent orchestration and workflow design patterns Experience in regulated industries (e.g., healthcare, medical devices) with AI governance considerations The base pay range for this position is: $93,680 - $128,810. Factors which may affect starting pay within this range may include geography/market, skills, education, experience, and other qualifications of the successful candidate. If this is a commission eligible position the commission eligibility will be in accordance with the terms of the Company's plan. Commissions are based on individual performance and/or company performance. The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long‑term and short‑term disability insurance, paid parking/public transportation, paid time off, paid sick and safe time. Equal Employment Opportunity Statement: Siemens Healthineers is an Equal Opportunity and Affiantative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, and other categories protected by federal, state or local law. EEO is the Law: Applicants and employees are protected under Federal law from discrimination. To learn more, click here. Reasonable Accommodations: Siemens Healthineers is committed to equal employment opportunity. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations. 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Export Control: “A successful candidate must be able to work with controlled technology in accordance with US export control law.” “It is Siemens Healthineers’ policy to comply fully and completely with all United States export control laws and regulations, including those implemented by the Department of Commerce through the Export Administration Regulations (EAR), by the Department of State through the International Traffic in Arms Regulations (ITAR), and by the Treasury Department through the Office of Foreign Assets Control (OFAC) sanctions regulations.” Data Privacy: We care about your data privacy and take compliance with GDPR as well as other data protection legislation seriously. For this reason, we ask you not to send us your CV or resume by email. We ask instead that you create a profile in our talent community where you can upload your CV. 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