This is how you'll win us over: Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience 8+ years of technical work experience, including 5+ years of experience in solutions architecture, software engineering, or data/AI roles, including hands-on experience designing and deploying AI/ML or generative AI solutions in an enterprise environment Proficiency with LLM platforms and APIs, prompt engineering, retrieval-augmented generation (RAG), and modern integration technologies such as REST APIs, Python, and major cloud platforms Experience integrating with enterprise business systems (e.g., CRM, ERP, HRIS, or customer service platforms) and working with the data that powers them Excellent communication and stakeholder management skills, marked by candor, clarity, and empathy, with a proven ability to translate complex technical concepts for non-technical audiences and influence across functions You'll Thrive Even More If You Also Bring Experience with agentic AI development tools such as Claude Code, workflow automation platforms such as n8n, or MLOps/LLMOps practices for monitoring and continuously improving AI solutions in production Cloud or AI certifications (e.g., AWS, Azure, or Google Cloud architecture or AI/ML certifications) Familiarity with responsible AI principles, data privacy regulations, and enterprise security and compliance requirements A track record of driving change management and user adoption for new technologies across diverse business teams Curiosity and resilience, with a passion for staying current with the rapidly evolving AI landscape, experimenting quickly, and applying what you learn to real business problems At Siemens, you'll have the opportunity to grow your career while helping organizations operate smarter, safer, and more sustainably. You'll make an impact by: Design and implement AI solutions, including large language model (LLM) applications, intelligent agents, and workflow automation, that improve productivity across Sales, Marketing, Customer Service, HR, and internal operations Deliver function-specific AI use cases such as lead prioritization, proposal drafting, and CRM automation for Sales; content generation, campaign personalization, and market research for Marketing; recruiting support, onboarding assistants, and employee self-service for HR; and process automation, reporting, and workflow optimization for internal operations Partner with business stakeholders, treating internal teams as your customers, to identify and prioritize high-value use cases, translate business needs into technical requirements, and maintain a roadmap for enterprise AI adoption Architect secure, scalable integrations between AI platforms and enterprise systems such as CRM, marketing automation, ERP, HRIS, and contact center technologies, establishing reusable patterns and responsible AI guardrails for data privacy, security, and governance in close collaboration with IT, data, and cybersecurity teams Build rapid prototypes and proofs of concept, evaluate results against business outcomes, and guide successful pilots through to production deployment and ongoing operation Champion adoption with genuine enthusiasm, enabling teams through training, documentation, and best practices, and by measuring and communicating productivity gains and return on investment This is a remotely based role in the U.S. Qualified Applicants must be legally authorized for employment in the United States and will not require employer sponsored work authorization now or in the future for employment in the United States.