Principal Software Engineer (Agentic AI)
Tyco Electronics Singapore · Singapore
Tyco Electronics Singapore Pte Ltd (TE Connectivity) is looking for a Principal Scientist/Engineer to join our Corporate R&D Center. The Scientist/Engineer will be part of a newly formed Artificial Intelligence team to create an AI Hub for TE in Singapore. Team members will collaborate with R&D peers, business unit partners as well as local university and government research centers to undertake projects that will embed AI in TE’s design and process development work flows to deliver a competitive advantage to TE’s technologies. This position is based at our Singapore HQ. The Singapore Corporate R&D Center is chartered to work with the CTO’s and Advanced Development Groups of TE Business Units to identify technical areas of interest for R&D and develop forward looking technologies that will deliver broad value to the business. In order to improve the New Product Development process, TE is expanding our Artificial Intelligence capabilities as a part of our Digitalization strategy to improve efficiency, decrease cost, and decrease time to market. 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 experienceDeep expertise in LLMs, multi-agent and agentic AI frameworks, and hands-on software engineering and programming skillsProven track record deploying and scaling enterprise AI platforms or products in production, with strong architecture knowledge across cloud, data, security, DevOps, MLOps, LLMOps, and governanceStrong communication, stakeholder management, and influence skills across senior technical and business audiencesDemonstrated ability to define technical strategy and lead complex cross-functional programs independentlyStrong interest in R&D involving hands-on coding, experimentation, and data-driven problem solvingExperience establishing effective delivery, project management, and execution mechanisms across multiple concurrent initiativesWorking knowledge of engineering domains such as materials, manufacturing processes, product design, or industrial systemsPreferred: 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 alloysBroad knowledge of manufacturing processes (molding, extrusion, plating, stamping, assembly, etc.), material development, and product design