Industrial AI Strategist; Industrial AI Lab
Listed on 2026-07-20
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IT/Tech
AI Engineer (Applied/Software), Technical Sales
Location: New York
Overview
Siemens, a global technology company, enables sustainable progress through technology. We focus on empowering customers by combining the real and digital worlds to improve how we live, work, and move today and in the future. Our people-first approach values a diverse, global team that supports growth and development across roles and geographies.
Location and TravelBased in Princeton, New Jersey, with regular presence at our New York City office. This role involves work across both locations and may include approximately 20% national and international travel for customer engagements, conferences, and partner meetings.
The OpportunityThe Industrial AI Lab is part of Siemens Data and AI organization, operating at the intersection of customers, AI research, and industrial domains. The mission is to discover and validate scalable industrial AI product ideas, catalyze product development teams, drive thought leadership, and build a thriving Data & AI community within Siemens. Our small, high-impact team moves fast, collaborating with customers, academia, and industry partners to tackle real-world industrial challenges.
Our reach spans the U.S. industrial ecosystem and beyond, as we grow.
- Designing and facilitating customer-facing AI workshops and ideation sessions to uncover high-value opportunities for industrial AI.
- Evaluating emerging ideas with technical rigor and prioritizing concepts likely to create meaningful, scalable impact.
- Serving as the bridge between business stakeholders and technical teams by validating concepts and ensuring delivery teams have the context and partnerships needed to move forward.
- Embedding AI innovation into customer engagements, industry showcases, and U.S. market narratives.
- Co-developing thought leadership content and events with business and sales teams to translate complex technical capabilities into customer value.
- Shaping the Lab s external presence by engaging with academic and industry partners, representing Siemens at conferences, and guiding the Industrial AI conversation in the U.S. market.
Basic Qualifications:
- Bachelor’s degree in a STEM field (e.g., computer science, mathematics, physics, or engineering).
- 5+ years of work experience in AI, machine learning, or innovation, such as AI-focused consulting, industrial technology, applied AI, or related roles.
- Proven track record of working across technical and business stakeholders.
- Proficiency in English, written and spoken.
- Legal authorization to work in the United States without sponsorship now or in the future. Current Siemens employees on visa will be considered.
- Ability to work with controlled technology in accordance with U.S. Export Control Law; may require documenting citizenship status to comply with regulations.
- MBA or master s degree in computer science, mathematics, physics, engineering, or related field, with strong academic performance.
- Experience building AI solutions in industrial or operational environments, with ability to engage credibly with data scientists, ML engineers, and AI researchers.
- Understanding of AI applications in industrial environments (manufacturing, automation, infrastructure, mobility, etc.).
- Entrepreneurial mindset with hands-on approach and ability to shape opportunities in ambiguous environments.
- Strong communication skills for both C-suite and technical audiences.
- Established network across the U.S. industrial and AI ecosystem, including customers, startups, academic institutions, investors, or enterprises.
- Ability to design workshops, activate partnerships, and turn conversations into collaboration.
- Familiarity with Siemens technology portfolio or industrial software solutions.
- Experience engaging with innovation programs, accelerators, or research institutions.
- Global scale with local impact; a platform to create broad influence.
- Intellectual depth through real AI thought leadership, academic partnerships, and industry influence.
- High visibility in a small, dynamic team with startup spirit.
- Balance of people skills and technical depth valued equally.
- A…
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