AI Platform & MLOps Engineering
AI Platform & MLOps Engineering is an individual-contributor Data + AI career progressing from guided delivery to enterprise expertise without requiring people management.
- Función
- Data & Analytics
- Arquetipo
- Engineering
- Nivel más alto
- L7 · Distinguished AI Platform Engineer
Para qué existe
Builds and operates platforms, deployment systems, evaluations, observability and controls required to run ML and AI reliably at production scale.
Responsabilidades típicas
Deliver ai platform & mlops engineering outcomes; apply data/AI standards; manage quality, reliability and risk; collaborate across product, engineering, security, legal and business teams; at senior levels shape enterprise standards and strategy.
Dónde se trabaja
Technology companies, data/cloud platforms, financial services, consulting, shared services, product engineering and regulated enterprises adopting Data + AI.
Cómo avanza la carrera
Associate AI Platform Engineer → AI Platform Engineer → Senior AI Platform Engineer → Staff AI Platform Engineer → Senior Staff AI Platform Engineer → Principal AI Platform Engineer → Distinguished AI Platform Engineer
Niveles de esta carrera
Seis etapas estándar. La séptima existe solo donde la carrera la contempla.
- L1Associate AI Platform Engineer
- L2AI Platform Engineer
- L3Senior AI Platform Engineer
- L4Staff AI Platform Engineer
- L5Senior Staff AI Platform Engineer
- L6Principal AI Platform Engineer
- L7Distinguished AI Platform Engineer
Nivel distinguido opcional. No todas las carreras llegan acá.
Qué se espera en L4 · Staff AI Platform Engineer
Apply ai platform & mlops engineering capability at leads ambiguous cross-team work through expertise without people management.
Las cinco dimensiones que cambian
- Autonomía
- Cross-team technical/professional leadership
- Alcance
- Leads ambiguous cross-team work through expertise without people management.
- Complejidad
- Complex
- Influencia
- Multiple teams
- Impacto en el negocio
- Domain/cross-team
- Ambigüedad
- High
Cómo se ve un buen desempeño
Produces trustworthy ai platform & mlops engineering outcomes, makes sound trade-offs, communicates evidence and risks, and demonstrates the autonomy and impact expected at L4.
Evidencia típica
Completed ai platform & mlops engineering work products or production outcomes; documented decisions; measurable improvements in quality, reliability, risk, speed, cost or business outcomes; peer/stakeholder evidence of L4 scope.
Habilidades esperadas en L4
Agrupadas en humanas, profesionales y técnicas. La proficiencia meta usa la escala P1–P7, y cada fila dice qué significa ese nivel para esa habilidad.
Humanas10
| Humanas | P | De apoyo |
|---|---|---|
| Clear verbal communicationCommunication & Language | P4ProficientDe apoyo | Adapts Clear verbal communication to complex situations and guides peers in applying it consistently. |
| Clear written communicationCommunication & Language | P4ProficientDe apoyo | Adapts Clear written communication to complex situations and guides peers in applying it consistently. |
| CollaborationCollaboration & Relationships | P4ProficientDe apoyo | Adapts Collaboration to complex situations and guides peers in applying it consistently. |
| Critical thinkingThinking & Problem Solving | P4ProficientDe apoyo | Adapts Critical thinking to complex situations and guides peers in applying it consistently. |
| Cross-functional collaborationCollaboration & Relationships | P4ProficientDe apoyo | Adapts Cross-functional collaboration to complex situations and guides peers in applying it consistently. |
| Learning agilityExecution & Self-Management | P4ProficientDe apoyo | Adapts Learning agility to complex situations and guides peers in applying it consistently. |
| MentoringCollaboration & Relationships | P4ProficientDe apoyo | Adapts Mentoring to complex situations and guides peers in applying it consistently. |
| Stakeholder alignmentInfluence & Leadership Without Authority | P4ProficientDe apoyo | Adapts Stakeholder alignment to complex situations and guides peers in applying it consistently. |
| Strategic thinkingThinking & Problem Solving | P4ProficientDe apoyo | Adapts Strategic thinking to complex situations and guides peers in applying it consistently. |
| Structured problem solvingThinking & Problem Solving | P4ProficientDe apoyo | Adapts Structured problem solving to complex situations and guides peers in applying it consistently. |
Profesionales6
| Profesionales | P | De apoyo |
|---|---|---|
| AI lifecycle governanceData & Analytics Practice | P4ProficientCentral | Adapts AI lifecycle governance to complex situations and guides peers in applying it consistently. |
| AI model governanceData & Analytics Practice | P4ProficientCentral | Adapts AI model governance to complex situations and guides peers in applying it consistently. |
| Architecture governanceIT Service Management & Governance | P4ProficientDe apoyo | Adapts Architecture governance to complex situations and guides peers in applying it consistently. |
| Model risk managementData & Analytics Practice | P4ProficientCentral | Adapts Model risk management to complex situations and guides peers in applying it consistently. |
| Responsible AI principlesData & Analytics Practice | P4ProficientDe apoyo | Adapts Responsible AI principles to complex situations and guides peers in applying it consistently. |
| Technology governanceIT Service Management & Governance | P4ProficientDe apoyo | Adapts Technology governance to complex situations and guides peers in applying it consistently. |
Técnicas14
| Técnicas | P | De apoyo |
|---|---|---|
| AI inference optimizationData Science, ML & AI | P4ProficientDe apoyo | Handles complex AI inference optimization implementations, optimizes outcomes and guides peers. |
| AI observabilityData Science, ML & AI | P4ProficientCentral | Handles complex AI observability implementations, optimizes outcomes and guides peers. |
| Feature pipeline engineeringData Science, ML & AI | P4ProficientDe apoyo | Handles complex Feature pipeline engineering implementations, optimizes outcomes and guides peers. |
| Feature store engineeringData Science, ML & AI | P4ProficientDe apoyo | Handles complex Feature store engineering implementations, optimizes outcomes and guides peers. |
| KubernetesDevOps, SRE & Platform Engineering | P4ProficientDe apoyo | Handles complex Kubernetes implementations, optimizes outcomes and guides peers. |
| ML experiment trackingData Science, ML & AI | P4ProficientDe apoyo | Handles complex ML experiment tracking implementations, optimizes outcomes and guides peers. |
| MLOpsData Science, ML & AI | P4ProficientCentral | Handles complex MLOps implementations, optimizes outcomes and guides peers. |
| MLflowData Science, ML & AI | P4ProficientCentral | Handles complex MLflow implementations, optimizes outcomes and guides peers. |
| Model deploymentData Science, ML & AI | P4ProficientCentral | Handles complex Model deployment implementations, optimizes outcomes and guides peers. |
| Model drift detectionData Science, ML & AI | P4ProficientDe apoyo | Handles complex Model drift detection implementations, optimizes outcomes and guides peers. |
| Model monitoringData Science, ML & AI | P4ProficientCentral | Handles complex Model monitoring implementations, optimizes outcomes and guides peers. |
| Model registryData Science, ML & AI | P4ProficientCentral | Handles complex Model registry implementations, optimizes outcomes and guides peers. |
| Model servingData Science, ML & AI | P4ProficientCentral | Handles complex Model serving implementations, optimizes outcomes and guides peers. |
| TerraformDevOps, SRE & Platform Engineering | P4ProficientDe apoyo | Handles complex Terraform implementations, optimizes outcomes and guides peers. |
Qué cambia al pasar de L4 a L5
Moving from Staff AI Platform Engineer to Senior Staff AI Platform Engineer means greater autonomy, complexity, scope, influence and evidence of impact—not simply more tools.
Cómo se demuestra que ya estás
Sustained evidence of operating at L5-type scope: handles representative complexity, influences expected stakeholders and produces durable measurable outcomes.
Cómo prepararse
Take on one assignment at next-level scope; seek feedback; document decisions/outcomes; mentor others where appropriate; close highest-priority skill gaps.
Carreras cercanas
Calculadas por habilidades compartidas. Es una señal para explorar, no una garantía de contratación ni de elegibilidad.
- AI Governance & Responsible AIData & Analytics14 habilidades compartidas
- Data ArchitectureData & Analytics14 habilidades compartidas
- Analytics EngineeringData & Analytics12 habilidades compartidas
- Applied AI / Applied ScienceData & Analytics12 habilidades compartidas
- Data Governance & StewardshipData & Analytics9 habilidades compartidas
- Machine Learning EngineeringData & Analytics9 habilidades compartidas
Marco de carreras v21, activo desde 17 de agosto de 2026.