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.

Nivel distinguido opcional. No todas las carreras llegan acá.

Qué se espera en L3 · Senior AI Platform Engineer

Apply ai platform & mlops engineering capability at handles complex work, mentors others and influences team-level outcomes.

Las cinco dimensiones que cambian

Autonomía: Independent complex ownership
Alcance: Handles complex work, mentors others and influences team-level outcomes.
Complejidad: Complex
Influencia: Multiple teams
Impacto en el negocio: Domain/cross-team
Ambigüedad: Moderate

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 L3.

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 L3 scope.

Habilidades esperadas en L3

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.

Humanas8

Humanas	P	De apoyo
Clear verbal communicationCommunication & Language	P3WorkingDe apoyo	Applies Clear verbal communication independently in normal and moderately complex situations.
Clear written communicationCommunication & Language	P3WorkingDe apoyo	Applies Clear written communication independently in normal and moderately complex situations.
CollaborationCollaboration & Relationships	P3WorkingDe apoyo	Applies Collaboration independently in normal and moderately complex situations.
Critical thinkingThinking & Problem Solving	P3WorkingDe apoyo	Applies Critical thinking independently in normal and moderately complex situations.
Cross-functional collaborationCollaboration & Relationships	P3WorkingDe apoyo	Applies Cross-functional collaboration independently in normal and moderately complex situations.
Learning agilityExecution & Self-Management	P3WorkingDe apoyo	Applies Learning agility independently in normal and moderately complex situations.
Stakeholder alignmentInfluence & Leadership Without Authority	P3WorkingDe apoyo	Applies Stakeholder alignment independently in normal and moderately complex situations.
Structured problem solvingThinking & Problem Solving	P3WorkingDe apoyo	Applies Structured problem solving independently in normal and moderately complex situations.

Profesionales6

Profesionales	P	De apoyo
AI lifecycle governanceData & Analytics Practice	P3WorkingCentral	Applies AI lifecycle governance independently in normal and moderately complex situations.
AI model governanceData & Analytics Practice	P3WorkingCentral	Applies AI model governance independently in normal and moderately complex situations.
Architecture governanceIT Service Management & Governance	P3WorkingDe apoyo	Applies Architecture governance independently in normal and moderately complex situations.
Model risk managementData & Analytics Practice	P3WorkingCentral	Applies Model risk management independently in normal and moderately complex situations.
Responsible AI principlesData & Analytics Practice	P3WorkingDe apoyo	Applies Responsible AI principles independently in normal and moderately complex situations.
Technology governanceIT Service Management & Governance	P3WorkingDe apoyo	Applies Technology governance independently in normal and moderately complex situations.

Técnicas12

Técnicas	P	De apoyo
AI inference optimizationData Science, ML & AI	P3WorkingDe apoyo	Applies AI inference optimization independently in normal production scenarios and troubleshoots common issues.
AI observabilityData Science, ML & AI	P3WorkingCentral	Applies AI observability independently in normal production scenarios and troubleshoots common issues.
Feature pipeline engineeringData Science, ML & AI	P3WorkingDe apoyo	Applies Feature pipeline engineering independently in normal production scenarios and troubleshoots common issues.
Feature store engineeringData Science, ML & AI	P3WorkingDe apoyo	Applies Feature store engineering independently in normal production scenarios and troubleshoots common issues.
ML experiment trackingData Science, ML & AI	P3WorkingDe apoyo	Applies ML experiment tracking independently in normal production scenarios and troubleshoots common issues.
MLOpsData Science, ML & AI	P3WorkingCentral	Applies MLOps independently in normal production scenarios and troubleshoots common issues.
MLflowData Science, ML & AI	P3WorkingCentral	Applies MLflow independently in normal production scenarios and troubleshoots common issues.
Model deploymentData Science, ML & AI	P3WorkingCentral	Applies Model deployment independently in normal production scenarios and troubleshoots common issues.
Model drift detectionData Science, ML & AI	P3WorkingDe apoyo	Applies Model drift detection independently in normal production scenarios and troubleshoots common issues.
Model monitoringData Science, ML & AI	P3WorkingCentral	Applies Model monitoring independently in normal production scenarios and troubleshoots common issues.
Model registryData Science, ML & AI	P3WorkingDe apoyo	Applies Model registry independently in normal production scenarios and troubleshoots common issues.
Model servingData Science, ML & AI	P3WorkingCentral	Applies Model serving independently in normal production scenarios and troubleshoots common issues.

Qué cambia al pasar de L3 a L4

Moving from Senior AI Platform Engineer to 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 L4-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.

Marco de carreras v21, activo desde 17 de agosto de 2026.