Siemens

AI Solutions & Architecture Lead

Siemens • $137K — $236K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree required.
  • 5+ years in AI, software engineering, solution architecture, or related fields.
  • Proficient with large language models, APIs, and prompt engineering.
  • Experience in designing enterprise tech solutions with cloud and data considerations.
  • Skilled at communicating complex topics to non-technical stakeholders.

Responsibilities

  • Translate business needs into scalable AI solution architectures.
  • Assess technical feasibility and complexity of AI solutions.
  • Develop hands-on prototypes and proofs of concept.
  • Evaluate third-party AI products for business relevance.
  • Establish reusable architecture patterns and documentation.
  • Guide technical delivery with IT and external partners.
  • Ensure data governance and security measures are integrated into designs.

Benefits

  • Comprehensive health and wellness benefits.
  • Opportunities for professional growth and development.
  • Flexible work arrangements, including remote options for qualified candidates.
Full Job Description
We are looking for an AI Solutions & Architecture Lead. This position will be based in Wendell, NC, with remote work considered for highly qualified candidates.

The AI Solutions & Architecture Lead serves as the primary technical authority within the AI Excellence team and is responsible for translating business opportunities into scalable, secure, and effective AI solutions.

The role combines solution architecture with hands-on technical execution. You will evaluate technologies, design solution approaches, develop prototypes, establish reusable patterns, support implementation, and provide technical direction to internal IT teams and third-party delivery partners.

You should be comfortable moving from a whiteboard architecture discussion to directly working with AI platforms, APIs, data, integrations, agents, prompts, and prototypes.

You'll make a difference by:
  • AI solution architecture - 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.
  • Technical feasibility and design - Assess feasibility, complexity, dependencies, implementation options, integration approaches, and production readiness across AI solutions and enterprise systems.
  • Hands-on prototyping - Develop proofs of concept, configure AI technologies, support prompt engineering and agent design, and validate approaches with direct technical execution.
  • Technology evaluation - Maintain knowledge of enterprise AI platforms and emerging technologies, evaluate third-party products against business needs, and provide clear recommendations for appropriate use cases.
  • Reusable patterns and standards - Establish reference architectures, implementation patterns, reusable components, technical guidance, documentation, and lessons learned to promote consistency and reduce duplication.
  • Technical delivery leadership - Provide technical direction to internal IT resources, developers, vendors, and implementation partners; review solution designs; and ensure delivery aligns with architecture and requirements.
  • Data, security, and governance - Assess data availability, quality, accessibility, and readiness while ensuring designs address security, privacy, Responsible AI, risk mitigation, scalability, maintainability, performance, and supportability.

You'll win us over by having the following qualifications:

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.
  • 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.

You'll Benefit From
Siemens offers a variety of health and wellness benefits to our employees. Details regarding our benefits can be found here: https://www.benefitsquickstart.com/siemens/index.html
The pay range for this position is $137,731 - $236,110 annually with a target incentive of 15% of the base salary. The actual wage offered may be lower or higher depending on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location.

About Siemens

Siemens AG is a German multinational conglomerate company headquartered in Munich and the largest industrial manufacturing company in Europe with branch offices abroad. The principal divisions of the company are Industry, Energy, Healthcare, and Infrastructure & Cities, which represent the main activities of the company. The company is a prominent maker of medical diagnostics equipment and its medical health-care division, which generates about 12 percent of the company's total sales, is its second-most profitable unit, after the industrial automation division. The company is a component of the Euro Stoxx 50 stock market index. Siemens and its subsidiaries employ approximately 385,000 people worldwide and reported global revenue of around €87 billion in 2019 according to its earnings release.
Learn more about Siemens
Size
305,000 employees
Industry
Founded
1847
NASDAQ

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