AI Program Architect
Listed on 2026-01-12
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IT/Tech
AI Engineer, Systems Engineer
Join to apply for the AI Program Architect role at Siemens Digital Industries Software
Siemens Digital Industries Software (DI SW) business segments are on an explosive journey of adding Artificial Intelligence offerings to its broad & diverse product portfolio targeted to improve the value proposition and efficiency of our customers.
A central Data & AI Program has been established to coordinate, drive & support multitude of AI Initiatives. We are looking for a passionate and experienced professional to be part of this critical program and take on the role of a Principal Software Engineer / Architect reporting to the Global AI Program Manager.
This is a cross-segment AI Program level role, requiring extreme collaborative engagement across all the DI SW Segments & Product Lines, GS&CS, Partnership team, Legal and various other functions. It will also include collaborating with broader Siemens Business at DI, FT and IT.
Please note that, due to the current integration framework, this opportunity is currently available exclusively to employees of Altair and DISW. While there is a possibility that the position may be made available to all Siemens employees through a future external posting, this is not guaranteed. We appreciate your understanding and cooperation during this transitional period. This communication does not constitute a promise or guarantee of future employment opportunities beyond the current scope.
Responsibilities- Joint definition, alignment & governance for architecture elements of various AI product offerings with DI SW technical leaders across business segment and T&I
- Stay on top of dynamically evolving AI technology landscape & apply learnings and adoption into product architecture definition & governance
- Collaborate & Support Segment Product teams for realization of AI offerings
- Coordinate & Drive identification and rationalization of AI technology synergies across segment product teams, to minimize and eliminate duplication
- Coordinate and provide support, guidance, scoping, planning & execution of proof-of-concepts as required
- Own & Drive updating technology content of cross-business Inventory of all AI capabilities
- Coordinate technical support to sales, pre-sales & services in partnership with business segments
- Support technical interactions & engagement with Partners (e.g. hyperscalers such as AWS, Microsoft)
- Act as the DI SW Technical Representative on the ONE Tech Data & AI Track and help Influence the technology services direction to the needs of DI SW product teams
- Strong architectural background
- Strong technical understanding & hands-on experience in technology concepts such as Cloud, multi-tier distributed architecture, enterprise software, SaaS and AI
- Ability to work autonomously on multiple highly sophisticated projects simultaneously
- Able to connect and collaboratively work across multiple teams
- Able to optimally connect with senior management and corporate level customers
- Outstanding verbal, written, presentation, facilitation, and interaction skills
- Bachelor's Degree in Computer Science, Engineering, or other STEM discipline supplemented with real world programming & architecture experience
- 15+ years - Software Development and Design Engineering experience
- 10+ years - Defining complex software architectures
- 5+ years of Experience in developing and implementing Microservices
- 5+ years Proficiency in developing and deploying cloud-based solutions leveraging at-least one of the hyper- scalers (AWS, Azure, others), Containerization, Dev Ops
- 5+ years Cross Organization engagement & Ability to interface with internal and external customers of varying technical abilities (Development, Sales, Services, Partners, etc.)
- Understanding of evolving AI technologies Generative, LLMs, RAG, Agents, Agent Frameworks
- Understanding and experience of modern enterprise data & integration architectural patterns
- Working knowledge & experience in some of PLM, ALM, MBSE, EDA, MOM software
- Deep industrial knowledge and experience in one or more sectors;
Enterprise / IT, PLM, OT
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