Principal Software Engineer AI

Job Responsibilities: - Define and own the technical vision, reference architecture, and multi-year roadmap for an enterprise-scale agentic AI platform supporting engineering users in product design and manufacturing process development. - Lead the design, implementation, and deployment of secure, scalable, and reliable platform capabilities, including orchestration frameworks, retrieval, evaluation, observability, and integration with enterprise systems. - Align multiple business units, IT, cybersecurity, data, and global engineering teams on platform standards, governance, operating model, and adoption strategy, while guiding teams on effective platform utilization. - Lead complex programs and external partnerships end-to-end, including vendor evaluation, delivery governance, prioritization of high-value use cases, and realization of measurable business impact. - Drive technical decisions on LLMs, multi-agent/agentic AI frameworks, cloud and hybrid infrastructure, and high-performance computing to continuously strengthen platform capability. - Serve as a key technical member in the Singapore Corporate R&D Center, creating awareness across TE and influencing senior stakeholders on AI platform strategy, risks, and outcomes. - Partner with Singapore research institutes and external technology ecosystems to evaluate advanced AI techniques, guide validation, and accelerate knowledge transfer into production TE applications. Job Requirements: - Master degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field with 12+ years (or Bachelor degree with 15+ years, or PhD degree with 10+ years) of relevant working/research experience. - Deep expertise in LLMs, multi-agent and agentic AI frameworks, and hands-on software engineering and programming skills. - Proven track record deploying and scaling enterprise AI platforms or products in production, with strong architecture knowledge across cloud, data, security, DevOps, MLOps, LLMOps, and governance. - Strong communication, stakeholder management, and influence skills across senior technical and business audiences. - Demonstrated ability to define technical strategy and lead complex cross-functional programs independently. - Strong interest in R&D involving hands-on coding, experimentation, and data-driven problem solving. - Experience establishing effective delivery, project management, and execution mechanisms across multiple concurrent initiatives. - Working knowledge of engineering domains such as materials, manufacturing processes, product design, or industrial systems. Preferred Qualifications: - Experience applying AI in engineering, manufacturing, or industrial R&D environments; familiarity with TE products such as connectors, cables, sensors, etc. - Broad knowledge of different materials' mechanical, electrical, and thermal properties, including polymers, metals, and alloys. - Broad knowledge of manufacturing processes (molding, extrusion, plating, stamping, assembly, etc.), material development, and product design.