Job Requirements
Role : Movement Construction Intelligence Engineer (Gen-AI)
Department : Tech Designs & Standards Centre
Reporting to : Head – MACRO
Level Band : L3~L5 (Level L4)
Vacant Position : 2 (Immediate)
- Titan (Titan Company Limited – Watch Division) is undertaking a strategic transition from catalogue-led watch assembly to design-led horology, where movements and complications are conceived to serve design intent and long-term brand authorship.
- MACRO is Titan’s Atelier of Advanced Complications – the company’s flagship creation studio for high horology, advanced movements, and proprietary watchmaking.
- MACRO stands for Mechanical Advanced Complications Research Office
- MACRO operates as a complete execution engine, owning the full journey from movement architecture and complication creation, through integrated watch development, to engineering-ready handover for industrialization.
- MACRO institutionalizes horological capability by creating reusable mechanical and aesthetic assets (L0 / High-L1) and maturing them through design, prototyping, assembly, regulation, validation, and engineering release.
- Level Definitions (L0 / L1)
L0
Highest level of original creation
L1 / High-L1
High-end creation on strong architecture
New movement and watch architecture from ground-up
Significant originality via enhancements / derivatives; not full movement from zero
New complication logic and meaningful IP creation
Module additions (date / GMT / Power Reserve etc.) and architectural refinement
Fully original movement–watch integration
High perceived value with strong above-the-dial excellence
Highest finishing and chronometry standards
- As Titan’s apex creation studio, MACRO bridges conceptual horology and industrial reality, ensuring that advanced ideas are translated into validated, manufacturable systems without dilution of intent.
- Macro is responsible for shaping the technical foundation that will define Titan’s horological identity for the next 20–30 years.
- This role builds MACRO’s “Movement Construction Intelligence (MCI)” by working with Senior Knowledge Fellows and Senior Constructors to capture lived expertise and convert it into structured, reusable, AI‑ready frameworks—rules, checklists, decision trees, templates, playbooks, glossaries, and governed Gen‑AI prompt packs.
- The outcome is faster, more consistent engineering execution with strict human validation, configuration control, and IP/data compliance.
- This role helps build MACRO’s Movement Construction Intelligence by capturing construction decisions, interface rules, tolerance heuristics, CTQs and failure learnings into a governed repository, and by maintaining approved prompt templates/guardrails for repeatable, scalable engineering outputs (in collaboration with Digital/Gen‑AI platform teams).
- Technical responsibilities (Embedded Gen-AI integration)
- Scope boundary:
- Senior Knowledge Fellows and Senior Constructors own movement/complication architecture decisions and technical sign‑offs.
- This role owns knowledge capture, structuring, validation packs, and the governed Gen‑AI workflows that convert expert know‑how into reusable assets.
- This role may draft documentation/templates for review; final engineering approval remains with designated engineering owners.
- Knowledge Capture (from Senior Knowledge Fellows & SMEs)
- Plan and run structured interviews/workshops to extract tacit practices, edge cases, failure modes, and decision criteria.
- Create and maintain an MCI glossary/ontology of terms, interfaces, CTQs, and recurring construction patterns used within MACRO.
- Drive clarity and sign‑off on what is “standard”, “preferred”, and “exception” (and when).
- Build AI‑Ready MCI Frameworks (Reusable Assets)
- Convert expertise into reusable assets: construction rules, interface standards, tolerance heuristics, do/don’t patterns, checklists, and decision trees.
- Create standardized templates for engineering documentation (notes, inspection/CTQ capture, change rationale) aligned to MACRO standards.
- Maintain versioned playbooks and a patterns library for repeatable execution across programs.
- Gen‑AI Enablement (Governed, Verifiable Workflows)
- Develop approved prompt templates (“prompt packs”) for recurring tasks such as completeness checks, standards conformance checks, and structured summaries.
- Define verification steps and acceptance criteria for each Gen‑AI workflow (what must be validated, by whom, and what evidence is required).
- Maintain prompt/version control, usage guidelines, and audit trails as per governance and confidentiality requirements.
- Validation, Adoption & Continuous Improvement
- Pilot MCI assets with MACRO users; measure adoption, accuracy, rework reduction, and cycle‑time impact.
- Create enablement material and run onboarding sessions for designers/constructors on using MCI assets and Gen‑AI workflows.
- Establish feedback loops; publish revisions with change notes and communicate updates to stakeholders.
- Engineering Documentation Support (non‑signing role)
- Produce/maintain checklists and documentation templates that help ensure release packs are complete and consistent (drawings, CTQs, inspection points, assembly notes).
- Support engineers by drafting structured summaries and design history entries for review—without owning engineering sign‑off.
- MCI Repository Entries: validated construction patterns, interface control rules, tolerance heuristics, CTQ libraries, and finishing/DFM constraints.
- MCI Library Modules: rules, checklists, decision trees, templates, and glossary/ontology entries (versioned).
- Prompt Packs: approved prompt templates with guardrails, verification steps, and examples (versioned).
- Standards & Playbooks: documented patterns with do/don’t guidance, exceptions, and evidence references.
- Validation Pack: acceptance criteria, test cases, sample outputs, and sign‑off records for each major asset/workflow.
- Enablement Kit: quick guides, training notes, and onboarding plan for internal users.
- KPIs (AI impact embedded in engineering outcomes)
- % reuse of MCI templates/checklists/patterns across projects.
- MCI asset adoption & quality: # validated entries/modules created/updated per quarter and reuse rate.
- Reduction in documentation/release rework loops attributable to standardized checklists/templates.
Cycle‑time improvement from architecture intent- release readiness (with zero governance violations).
- Prompt standard compliance & auditability: % Gen‑AI assisted outputs using approved prompt packs with logged assumptions/evidence.
Skill / Competency
Evidence
Notes
Precision CAD & movement detailing
Produces clean, manufacturable models and assemblies with controlled complexity.
SolidWorks/Inventor/TELL Watch; configuration discipline
Drawing release & GD&T discipline
Creates buildable drawings with inspectable callouts and controlled revisions.
Templates, finishes, heat treatment, datums; CTQ clarity
Tolerance stack & interface thinking
Anticipates stack-ups and defines measurable control points.
Pivots/jewels, endshake/sideshake, gear mesh, hand clearance
Design assurance discipline
Runs systematic checks and closes risks before release.
DFM, inspectability, DFA, serviceability
Gen‑AI for engineering workflows
Demonstrated prompt templates producing structured outputs.
Integrated into drawing release, checklist and documentation workflows
Gen‑AI verification discipline
Shows validation method and assumption logging.
Prevents hallucinations; cross-checks with CAD / Stds.
Responsible AI usage
Uses approved tools; protects IP. No unapproved tool usage
Zero confidentiality breaches
Documentation & knowledge capture
Creates reusable templates/playbooks and traceable design history entries.
Asset library; checklists; ECO rationale based on evidence
Collaboration & iteration closure
Works with build/QC/prototyping to close issues quickly.
CFT cadence; fast closure of feedback loops
- Tools familiarity
- CAD: SolidWorks / Inventor / TELL Watch (or equivalent) for movement and component design.
- Design governance: PDM/PLM (or controlled revision systems), drawing templates and release checklists.
- Gen‑AI (approved): internal Gen‑AI assistants for drafting/checking/documentation; prompt library and usage checklist.
- Verification: standards repository, comparison checklists, tolerance-stack tools, interference/kinematics checks (as required).
- Documentation systems: BOM tools, issue logs, asset library and standards repository.
- Approved Gen‑AI assistant(s) and prompt library management.
- Knowledge base/wiki and document control systems.
- Templates, checklists, review workflows, and issue tracking
- Behavioural Competencies
- High precision mindset: attention to detail, correctness and inspectability.
Work Experience
Experience
- 0~3 years of experience in mechanical design, precision mechanism design, movement design or micro-engineering.
- Strong CAD modelling and 2D drawing capability is mandatory.
- Exposure to movement parts, complication development or watchmaking is preferred, not mandatory.
- Experience with micro-manufacturing, prototyping labs, inspection or precision assembly will be an advantage.
- Interest in Swiss / Japanese haute horology and willingness to build deep horological expertise is expected.
