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.
- Function
- Data & Analytics
- Archetype
- Engineering
- Highest level
- L7 · Distinguished AI Platform Engineer
Why it exists
Builds and operates platforms, deployment systems, evaluations, observability and controls required to run ML and AI reliably at production scale.
Typical responsibilities
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.
Where the work happens
Technology companies, data/cloud platforms, financial services, consulting, shared services, product engineering and regulated enterprises adopting Data + AI.
How the career progresses
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
Levels in this career
Six standard stages. The seventh exists only where the career provides for it.
- 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
Optional distinguished level. Not every career reaches it.
What is expected at L6 · Principal AI Platform Engineer
Apply ai platform & mlops engineering capability at acts as an enterprise expert influencing multiple domains and major outcomes.
The five dimensions that change
- Autonomy
- Enterprise authority
- Scope
- Acts as an enterprise expert influencing multiple domains and major outcomes.
- Complexity
- Systemic
- Influence
- Enterprise / industry
- Business impact
- Enterprise / industry
- Ambiguity
- High
What good looks like
Produces trustworthy ai platform & mlops engineering outcomes, makes sound trade-offs, communicates evidence and risks, and demonstrates the autonomy and impact expected at L6.
Typical evidence
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.
Skills expected at L6
Grouped as human, professional and technical. Target proficiency uses the P1–P7 scale, and each row says what that level means for that particular skill.
Human10
| Human | P | Supporting |
|---|---|---|
| Clear verbal communicationCommunication & Language | P6ExpertSupporting | Sets enterprise direction for Clear verbal communication and integrates it into governance and strategy. |
| Clear written communicationCommunication & Language | P6ExpertSupporting | Sets enterprise direction for Clear written communication and integrates it into governance and strategy. |
| CollaborationCollaboration & Relationships | P6ExpertSupporting | Sets enterprise direction for Collaboration and integrates it into governance and strategy. |
| Critical thinkingThinking & Problem Solving | P6ExpertSupporting | Sets enterprise direction for Critical thinking and integrates it into governance and strategy. |
| Cross-functional collaborationCollaboration & Relationships | P6ExpertSupporting | Sets enterprise direction for Cross-functional collaboration and integrates it into governance and strategy. |
| Learning agilityExecution & Self-Management | P6ExpertSupporting | Sets enterprise direction for Learning agility and integrates it into governance and strategy. |
| MentoringCollaboration & Relationships | P6ExpertSupporting | Sets enterprise direction for Mentoring and integrates it into governance and strategy. |
| Stakeholder alignmentInfluence & Leadership Without Authority | P6ExpertSupporting | Sets enterprise direction for Stakeholder alignment and integrates it into governance and strategy. |
| Strategic thinkingThinking & Problem Solving | P6ExpertSupporting | Sets enterprise direction for Strategic thinking and integrates it into governance and strategy. |
| Structured problem solvingThinking & Problem Solving | P6ExpertSupporting | Sets enterprise direction for Structured problem solving and integrates it into governance and strategy. |
Professional6
| Professional | P | Supporting |
|---|---|---|
| AI lifecycle governanceData & Analytics Practice | P6ExpertCore | Sets enterprise direction for AI lifecycle governance and integrates it into governance and strategy. |
| AI model governanceData & Analytics Practice | P6ExpertCore | Sets enterprise direction for AI model governance and integrates it into governance and strategy. |
| Architecture governanceIT Service Management & Governance | P6ExpertSupporting | Sets enterprise direction for Architecture governance and integrates it into governance and strategy. |
| Model risk managementData & Analytics Practice | P6ExpertCore | Sets enterprise direction for Model risk management and integrates it into governance and strategy. |
| Responsible AI principlesData & Analytics Practice | P6ExpertSupporting | Sets enterprise direction for Responsible AI principles and integrates it into governance and strategy. |
| Technology governanceIT Service Management & Governance | P6ExpertSupporting | Sets enterprise direction for Technology governance and integrates it into governance and strategy. |
Technical16
| Technical | P | Supporting |
|---|---|---|
| AI inference optimizationData Science, ML & AI | P6ExpertSupporting | Sets enterprise technical standards for AI inference optimization and shapes platform or architecture direction. |
| AI observabilityData Science, ML & AI | P6ExpertCore | Sets enterprise technical standards for AI observability and shapes platform or architecture direction. |
| Apache SparkDatabases & Data Platforms | P6ExpertSupporting | Sets enterprise technical standards for Apache Spark and shapes platform or architecture direction. |
| DatabricksDatabases & Data Platforms | P6ExpertSupporting | Sets enterprise technical standards for Databricks and shapes platform or architecture direction. |
| Feature pipeline engineeringData Science, ML & AI | P6ExpertSupporting | Sets enterprise technical standards for Feature pipeline engineering and shapes platform or architecture direction. |
| Feature store engineeringData Science, ML & AI | P6ExpertSupporting | Sets enterprise technical standards for Feature store engineering and shapes platform or architecture direction. |
| KubernetesDevOps, SRE & Platform Engineering | P6ExpertSupporting | Sets enterprise technical standards for Kubernetes and shapes platform or architecture direction. |
| ML experiment trackingData Science, ML & AI | P6ExpertCore | Sets enterprise technical standards for ML experiment tracking and shapes platform or architecture direction. |
| MLOpsData Science, ML & AI | P6ExpertCore | Sets enterprise technical standards for MLOps and shapes platform or architecture direction. |
| MLflowData Science, ML & AI | P6ExpertCore | Sets enterprise technical standards for MLflow and shapes platform or architecture direction. |
| Model deploymentData Science, ML & AI | P6ExpertCore | Sets enterprise technical standards for Model deployment and shapes platform or architecture direction. |
| Model drift detectionData Science, ML & AI | P6ExpertSupporting | Sets enterprise technical standards for Model drift detection and shapes platform or architecture direction. |
| Model monitoringData Science, ML & AI | P6ExpertCore | Sets enterprise technical standards for Model monitoring and shapes platform or architecture direction. |
| Model registryData Science, ML & AI | P6ExpertCore | Sets enterprise technical standards for Model registry and shapes platform or architecture direction. |
| Model servingData Science, ML & AI | P6ExpertCore | Sets enterprise technical standards for Model serving and shapes platform or architecture direction. |
| TerraformDevOps, SRE & Platform Engineering | P6ExpertSupporting | Sets enterprise technical standards for Terraform and shapes platform or architecture direction. |
What changes from L6 to 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.
How readiness is shown
Sustained evidence of operating at L7-type scope: handles representative complexity, influences expected stakeholders and produces durable measurable outcomes.
How to prepare
Take on one assignment at next-level scope; seek feedback; document decisions/outcomes; mentor others where appropriate; close highest-priority skill gaps.
Adjacent careers
Computed from shared skills. It is a signal for exploring, not a hiring or eligibility guarantee.
- AI Governance & Responsible AIData & Analytics14 shared skills
- Data ArchitectureData & Analytics14 shared skills
- Analytics EngineeringData & Analytics12 shared skills
- Applied AI / Applied ScienceData & Analytics12 shared skills
- Data Governance & StewardshipData & Analytics9 shared skills
- Machine Learning EngineeringData & Analytics9 shared skills
Career framework v21, active since August 17, 2026.