Sr. Engineering AI Enterprise Architect (m/f/d)
TE Connectivity8 hours ago
Munich, GermanySenior
Responsibilities
- Define and maintain the engineering AI technical framework, including architecture principles, reusable patterns, readiness criteria, governance checkpoints, and lifecycle expectations.
- Assess local AI designs, identify reuse opportunities, industrialize successful prototypes, and guide solutions toward production-ready capabilities.
- Create and maintain the engineering AI technology roadmap across tools, agents, models, workflows, data products, integrations, and reusable services.
- Identify common AI capabilities such as retrieval, similarity search, recommendation logic, engineering reasoning, orchestration, evaluation, and shared data services.
- Coordinate architecture alignment across business units, engineering teams, systems leads, subject matter experts, IT, data teams, suppliers, and vendors.
- Review technical proposals and solution designs for scalability, maintainability, security, integration quality, reuse potential, and enterprise architecture fit.
- Embed security, data, IP protection, responsible AI, testing, documentation, monitoring, and support expectations into delivery standards.
- Reduce duplicate development by steering teams toward shared platforms, common services, and standard architecture patterns.
- Guide multiple contributors through practical roadmaps, solution patterns, decision points, delivery guidance, and disciplined governance.
Requirements
- Proven experience designing and scaling AI-enabled solutions in engineering or other complex operational environments.
- Experience serving as a senior AI technical authority by defining standards, reviewing solution designs, and driving reuse across multiple teams.
- Practical experience taking GenAI, agentic AI, RAG, intelligent automation, or AI workflow solutions from concept through pilot to production with measurable adoption and impact.
- Strong enterprise or solution architecture background connecting AI capabilities with business processes, engineering workflows, data sources, and enterprise systems.
- Deep expertise in LLM and GenAI solution design, including model selection, prompt and context design, grounding, tool use, structured outputs, and scalability trade-offs.
- Experience with agentic AI, orchestration, human-in-the-loop patterns, classical and applied machine learning architecture, recommendation systems, similarity models, optimization, model validation, feature engineering, and production deployment patterns.
- Experience with retrieval and knowledge systems, including RAG, embeddings, vector search, hybrid search, reranking, metadata, and source traceability.
- Experience with AI evaluation, MLOps, lifecycle management, model and version governance, monitoring, drift detection, rollback, observability, feedback loops, and continuous improvement.
- Knowledge of secure and responsible AI architecture, including access control, data classification, data leakage prevention, prompt injection risk, secure model and API access, auditability, vendor risk, data residency, and IP protection.
- Experience creating technical frameworks, reference architectures, reusable patterns, or platform-enabled capabilities.
- Ability to work credibly with engineering leaders, architects, systems leads, subject matter experts, IT, data teams, suppliers, and vendors in global matrixed organizations.
- Ability to balance innovation speed with enterprise controls, sustainable support models, production readiness, and long-term scalability.
Benefits
- Full-remote work arrangement.
- Competitive salary package and performance-based bonus plans.
- Health and wellness incentives.
- Employee stock purchase program.
- Community outreach programs and charity events.
- Employee resource groups across global sites and business units.
- Benefits may vary by site and may be provided by TE or external service providers.
Categories
About TE Connectivity
TE Connectivity designs and manufactures connectors, sensors, and interconnect systems used by automotive, industrial, energy, aerospace, data center, and medical OEMs. It sells these components and related engineering services to equipment makers and system integrators worldwide, supporting applications from e-mobility and factory automation to communications infrastructure. The company is publicly traded as TE Connectivity plc (NYSE: TEL) and was previously known as Tyco Electronics after its 2007 separation from Tyco International.