AI Solutions & Architecture Lead

Siemens • Wendell, NC

8h • $137,731 - $236,110 • Hybrid

About The Position

The AI Solutions & Architecture Lead serves as the primary technical authority within Siemens’ AI Excellence team, translating business opportunities into scalable, secure, and effective AI solutions. The role combines solution architecture with hands-on technical execution, including evaluating technologies, designing solution approaches, developing prototypes, establishing reusable patterns, supporting implementation, and providing technical direction to internal IT teams and third-party delivery partners.

The role requires moving between architecture discussions and direct work with AI platforms, APIs, data, integrations, agents, prompts, and prototypes. The position is based in Wendell, North Carolina, with remote work considered for highly qualified candidates.

Requirements

• Bachelor’s degree.
• At least 5 years of experience in AI, generative AI, modern AI development approaches, software engineering, solution architecture, cloud platforms, data engineering, or related technical disciplines.
• At least 5 years of experience with large language models, retrieval-augmented generation, agents, APIs, prompt engineering, enterprise integration, and workflow technologies.
• At least 5 years of experience designing enterprise technology solutions with cloud, data, identity, security, and application architecture considerations.
• At least 5 years of experience with rapid prototyping, proofs of concept, technical feasibility assessment, and evaluation of emerging technologies.
• At least 5 years of experience 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.

Nice To Haves

• 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.

Responsibilities

• Translate business requirements and use cases into scalable technical architectures using enterprise AI platforms, foundation models, agents, retrieval-augmented generation, APIs, data platforms, workflows, and related capabilities.
• Assess feasibility, complexity, dependencies, implementation options, integration approaches, and production readiness across AI solutions and enterprise systems.
• Develop proofs of concept, configure AI technologies, support prompt engineering and agent design, and validate approaches through direct technical execution.
• Maintain knowledge of enterprise AI platforms and emerging technologies, evaluate third-party products against business needs, and recommend appropriate use cases.
• Establish reference architectures, implementation patterns, reusable components, technical guidance, documentation, and lessons learned to promote consistency and reduce duplication.
• Provide technical direction to internal IT resources, developers, vendors, and implementation partners; review solution designs; and ensure delivery aligns with architecture and requirements.
• Assess data availability, quality, accessibility, and readiness while ensuring designs address security, privacy, Responsible AI, risk mitigation, scalability, maintainability, performance, and supportability.

Benefits

• Siemens offers a variety of health and wellness benefits.
• Target incentive of 15% of base salary.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior