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 L6 · Principal AI Platform Engineer
Apply ai platform & mlops engineering capability at acts as an enterprise expert influencing multiple domains and major outcomes.
Las cinco dimensiones que cambian
- Autonomía
- Enterprise authority
- Alcance
- Acts as an enterprise expert influencing multiple domains and major outcomes.
- Complejidad
- Systemic
- Influencia
- Enterprise / industry
- Impacto en el negocio
- Enterprise / industry
- 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 L6.
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 L6 scope.
Habilidades esperadas en L6
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 | P6ExpertDe apoyo | Sets enterprise direction for Clear verbal communication and integrates it into governance and strategy. |
| Clear written communicationCommunication & Language | P6ExpertDe apoyo | Sets enterprise direction for Clear written communication and integrates it into governance and strategy. |
| CollaborationCollaboration & Relationships | P6ExpertDe apoyo | Sets enterprise direction for Collaboration and integrates it into governance and strategy. |
| Critical thinkingThinking & Problem Solving | P6ExpertDe apoyo | Sets enterprise direction for Critical thinking and integrates it into governance and strategy. |
| Cross-functional collaborationCollaboration & Relationships | P6ExpertDe apoyo | Sets enterprise direction for Cross-functional collaboration and integrates it into governance and strategy. |
| Learning agilityExecution & Self-Management | P6ExpertDe apoyo | Sets enterprise direction for Learning agility and integrates it into governance and strategy. |
| MentoringCollaboration & Relationships | P6ExpertDe apoyo | Sets enterprise direction for Mentoring and integrates it into governance and strategy. |
| Stakeholder alignmentInfluence & Leadership Without Authority | P6ExpertDe apoyo | Sets enterprise direction for Stakeholder alignment and integrates it into governance and strategy. |
| Strategic thinkingThinking & Problem Solving | P6ExpertDe apoyo | Sets enterprise direction for Strategic thinking and integrates it into governance and strategy. |
| Structured problem solvingThinking & Problem Solving | P6ExpertDe apoyo | Sets enterprise direction for Structured problem solving and integrates it into governance and strategy. |
Profesionales6
| Profesionales | P | De apoyo |
|---|---|---|
| AI lifecycle governanceData & Analytics Practice | P6ExpertCentral | Sets enterprise direction for AI lifecycle governance and integrates it into governance and strategy. |
| AI model governanceData & Analytics Practice | P6ExpertCentral | Sets enterprise direction for AI model governance and integrates it into governance and strategy. |
| Architecture governanceIT Service Management & Governance | P6ExpertDe apoyo | Sets enterprise direction for Architecture governance and integrates it into governance and strategy. |
| Model risk managementData & Analytics Practice | P6ExpertCentral | Sets enterprise direction for Model risk management and integrates it into governance and strategy. |
| Responsible AI principlesData & Analytics Practice | P6ExpertDe apoyo | Sets enterprise direction for Responsible AI principles and integrates it into governance and strategy. |
| Technology governanceIT Service Management & Governance | P6ExpertDe apoyo | Sets enterprise direction for Technology governance and integrates it into governance and strategy. |
Técnicas16
| Técnicas | P | De apoyo |
|---|---|---|
| AI inference optimizationData Science, ML & AI | P6ExpertDe apoyo | Sets enterprise technical standards for AI inference optimization and shapes platform or architecture direction. |
| AI observabilityData Science, ML & AI | P6ExpertCentral | Sets enterprise technical standards for AI observability and shapes platform or architecture direction. |
| Apache SparkDatabases & Data Platforms | P6ExpertDe apoyo | Sets enterprise technical standards for Apache Spark and shapes platform or architecture direction. |
| DatabricksDatabases & Data Platforms | P6ExpertDe apoyo | Sets enterprise technical standards for Databricks and shapes platform or architecture direction. |
| Feature pipeline engineeringData Science, ML & AI | P6ExpertDe apoyo | Sets enterprise technical standards for Feature pipeline engineering and shapes platform or architecture direction. |
| Feature store engineeringData Science, ML & AI | P6ExpertDe apoyo | Sets enterprise technical standards for Feature store engineering and shapes platform or architecture direction. |
| KubernetesDevOps, SRE & Platform Engineering | P6ExpertDe apoyo | Sets enterprise technical standards for Kubernetes and shapes platform or architecture direction. |
| ML experiment trackingData Science, ML & AI | P6ExpertCentral | Sets enterprise technical standards for ML experiment tracking and shapes platform or architecture direction. |
| MLOpsData Science, ML & AI | P6ExpertCentral | Sets enterprise technical standards for MLOps and shapes platform or architecture direction. |
| MLflowData Science, ML & AI | P6ExpertCentral | Sets enterprise technical standards for MLflow and shapes platform or architecture direction. |
| Model deploymentData Science, ML & AI | P6ExpertCentral | Sets enterprise technical standards for Model deployment and shapes platform or architecture direction. |
| Model drift detectionData Science, ML & AI | P6ExpertDe apoyo | Sets enterprise technical standards for Model drift detection and shapes platform or architecture direction. |
| Model monitoringData Science, ML & AI | P6ExpertCentral | Sets enterprise technical standards for Model monitoring and shapes platform or architecture direction. |
| Model registryData Science, ML & AI | P6ExpertCentral | Sets enterprise technical standards for Model registry and shapes platform or architecture direction. |
| Model servingData Science, ML & AI | P6ExpertCentral | Sets enterprise technical standards for Model serving and shapes platform or architecture direction. |
| TerraformDevOps, SRE & Platform Engineering | P6ExpertDe apoyo | Sets enterprise technical standards for Terraform and shapes platform or architecture direction. |
Qué cambia al pasar de L6 a L7
Moving from Principal AI Platform Engineer to Distinguished 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 L7-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.