AI Integration/Application Specialist

Siemens•Chicago, IL

1d•$221,376 - $300,000•Onsite

About The Position

Siemens is seeking an AI Integration/Application Specialist to guide the evolution of Differentiating Systems from concept to scalable deployment, ensuring readiness across technical, commercial, and operational dimensions. This role involves integrating AI components (LLMs, Predictive Analytic Models) into customer workflows, validating their outputs in real operational environments, and ensuring safe, compliant deployment within industrial settings. The specialist will collaborate closely with system architects, software developers, and field teams to ensure AI models are robust, scalable, and tailored to the manufacturing environment. This position emphasizes bridging R&D with field execution, driving continuous improvement, and shaping the future of industrial systems by embedding with customer teams and adapting AI solutions to real-world constraints.

Requirements

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
10+ years of experience in developing, integrating, and validating AI/ML/GenAI models within industrial or automation environments.
10+ years of experience in relevant programming languages (e.g., Python, R, Java) and AI frameworks.
10+ years of experience with integrating and validating AI components in systems in the industrial context.
10+ years of experience working in cross-functional, customer-facing teams and adapting solutions to evolving requirements.
Willingness and ability to travel up to 20% to be with customer teams during critical deployment phases.
Authorized to work in the United States without the need for sponsorship now or in the future.

Nice To Haves

Strong analytical, problem-solving, and communication skills.
Experience with forward deployment engineering: embedding customer teams, rapid prototyping, field validation, and iterative improvement of AI applications.
Familiarity with Siemens AI solutions (Senseye, AI on Industrial Edge).
Familiarity with industrial automation systems, OT/IT integration, and cloud-based deployment of AI models.
Knowledge of compliance, safety, and regulatory requirements for AI in industrial environments.
Demonstrated ability to bridge the gap between core engineering and field deployment, enabling scalable, reliable adoption of new systems.
Experience sharing learnings and feedback from deployments with product teams to drive continuous improvement.

Responsibilities

Integrating AI components (LLMs, Predictive Analytic Models) into overarching customer workflows.
Validating AI outputs in real operational environments.
Supporting safe, compliant deployment within industrial settings, ensuring seamless interaction between AI-driven processes and automation systems.
Ensuring that data flow and modeling is fit for AI and GenAI needs.
Embedding with customer teams and partners during pilot and rollout phases to adapt AI solutions to real-world constraints.
Providing rapid feedback to product development to drive continuous improvement and measurable business value.
Collaborating closely with system architects, software developers, and field teams to ensure AI models are integrated into industrial systems and are robust, scalable, and tailored to the manufacturing environment.
Bridging the gap between innovative R&D and successful field deployment, enabling reliable adoption of new systems and fostering a culture of learning and improvement.