Sr. Manager of AI Engineering: Agentic Knowledge Store

Tokyo Electron•San Jose, CA

13d•Hybrid

About The Position

TEL Technology AI and Design (TTAD) is seeking an experienced engineering leader to provide leadership for a team across multiple locations and time zones, as well as manage a small local team. This role focuses on creating a knowledge store to support the autonomous fab and related research activities. The technologies involved include ontology-based ingestion, multiple latent spaces, multi-modal ingestion and retrieval, anti-hallucination techniques, advanced provenance strategies, and a heterogeneous data storage model. This is a people management position reporting to the Director of TTAD.

Requirements

7+ years of relevant engineering experience (such as computer science/AI research, software engineering, machine learning, scheduling and planning, or knowledge representation)
4+ years of experience with complex hardware + software systems
2+ years of small-group direct people management experience
Expertise in leading techniques for semantic capture, search, and embedding spaces
PhD or MSc in Computer Science or adjacent areas, or BSc with 10+ years of AI/ML/Comp Sci research excellence required

Responsibilities

Lead end-to-end delivery of AI (AI, Machine learning, Large Language Models, and other techniques) programs, including research, solution or model development, evaluation, and prototype development.
Partner with process, equipment, field-service, and IT organizations to source domain data and expertise, engage subject-matter experts, and validate results against real engineering problems.
Coordinate with TEL headquarters and business units on requirements, data-sharing and confidentiality constraints, and deployment; represent the team in executive and program reviews.
Drive make-vs-buy decisions: adopt commodity tools and platforms where appropriate while concentrating internal effort on differentiated, TEL-specific capabilities.
Support intellectual-property development: invention disclosures, prior-art review, and collaboration with patent counsel; maintain publication and disclosure hygiene within the team.
Establish and enforce engineering standards: data quality and provenance practices, evaluation-first development, reproducibility, and responsible use of AI.
Ensure team compliance with company policies regarding confidential, customer-committed, and export-controlled information.
Establish and execute evaluation governance (metrics, test strategy, regression, experiment tracking).
Oversee roadmap planning, resource allocation, and risk management; implement corrective actions.
Willing and able to travel overseas (east Asia) 3-5 times per year.
Willing and able to collaborate with colleagues in east Asia some evenings.
Perform other duties as assigned.
Lead, grow, and develop a team of AI engineers, research scientists, and software engineers, including hiring, performance management, mentoring, career development, and succession planning.
Own team delivery: scope project phases, define interfaces and dependencies, manage schedule and resources, and hold the team to measurable, evaluation-gated progress.
Provide technical direction and review within the team's domain; maintain sufficient hands-on depth to evaluate designs, experiments, and results critically.
Conduct performance reviews and pay reviews; may participate in hiring and, in accordance with company policy, termination decisions.
Understand and interpret the higher-level policy and set team objectives, establish development plans, and ensure consistent execution against quality and governance standards.
Oversee workload distribution, staffing strategies, and cross-team resource planning to optimize productivity and outcomes.
Promote a culture of continuous improvement, engineering excellence, and responsible AI.