AI Solutions & Architecture Lead

Transform the everyday with us!

You’ll make a difference by

Basic Qualifications

• Bachelor’s degree required.
• 5+ years of experience with the following: AI, generative AI, modern AI development approaches, software engineering, solution architecture, cloud platforms, data engineering, or related technical disciplines. Large language models, retrieval-augmented generation, agents, APIs, prompt engineering, enterprise integration, and workflow technologies. Designing enterprise technology solutions with cloud, data, identity, security, and application architecture considerations. Rapid prototyping, proofs of concept, technical feasibility assessment, and evaluation of emerging technologies. Communicating complex technical topics to non-technical stakeholders and directing technical work performed by internal or external teams.
• AI, generative AI, modern AI development approaches, software engineering, solution architecture, cloud platforms, data engineering, or related technical disciplines.
• Large language models, retrieval-augmented generation, agents, APIs, prompt engineering, enterprise integration, and workflow technologies.
• Designing enterprise technology solutions with cloud, data, identity, security, and application architecture considerations.
• Rapid prototyping, proofs of concept, technical feasibility assessment, and evaluation of emerging technologies.
• Communicating complex technical topics to non-technical stakeholders and directing technical work performed by internal or external teams.
• Legally authorized to work in the United States on a continual and permanent basis without company sponsorship.

Preferred Qualifications

• Experience supporting AI solutions from prototype through scalable production implementation.
• Experience partnering with enterprise architecture, cybersecurity, data, platform, IT, and business teams.
• Experience establishing reusable AI reference architectures, implementation standards, reusable components, and technical documentation.
• Experience evaluating enterprise AI platforms, emerging technologies, and third-party tools while promoting appropriate reuse.
• Experience supporting technical risk assessment, data readiness, Responsible AI practices, security, privacy, and governance requirements.
• Equal Employment Opportunity Statement Siemens is an Equal Opportunity Employer encouraging inclusion 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, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.
• EEO is the Law Applicants and employees are protected from discrimination on the basis of race, color, religion, sex, national origin, or any characteristic protected by Federal or other applicable law.
• Reasonable Accommodations If you require a reasonable accommodation in completing a job application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please fill out the accommodations form by clicking on this link Accommodation for disability form . If you’re unable to complete the form, you can reach out to our AskHR team for support at 1-866-743-6367. Please note our AskHR representatives do not have visibility of application or interview status.
• Pay Transparency Siemens follows Pay Transparency laws.

Application Deadline

• This role will be posted for a minimum of five (5) days from the original posting date. The posting timeline may change based on applicant volume to ensure we attract and consider a strong and representative candidate pool.
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