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 L7 · Distinguished AI Platform Engineer
Apply ai platform & mlops engineering capability at operates as a rare distinguished authority with enterprise or industry influence.
The five dimensions that change
- Autonomy
- Industry/frontier authority
- Scope
- Operates as a rare distinguished authority with enterprise or industry influence.
- Complexity
- Frontier
- 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 L7.
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 L7 scope.
Skills expected at L7
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 | P7Enterprise / Industry AuthoritySupporting | Acts as an industry-level authority in Clear verbal communication and creates new practices or standards. |
| Clear written communicationCommunication & Language | P7Enterprise / Industry AuthoritySupporting | Acts as an industry-level authority in Clear written communication and creates new practices or standards. |
| CollaborationCollaboration & Relationships | P7Enterprise / Industry AuthoritySupporting | Acts as an industry-level authority in Collaboration and creates new practices or standards. |
| Critical thinkingThinking & Problem Solving | P7Enterprise / Industry AuthoritySupporting | Acts as an industry-level authority in Critical thinking and creates new practices or standards. |
| Cross-functional collaborationCollaboration & Relationships | P7Enterprise / Industry AuthoritySupporting | Acts as an industry-level authority in Cross-functional collaboration and creates new practices or standards. |
| Learning agilityExecution & Self-Management | P7Enterprise / Industry AuthoritySupporting | Acts as an industry-level authority in Learning agility and creates new practices or standards. |
| MentoringCollaboration & Relationships | P7Enterprise / Industry AuthoritySupporting | Acts as an industry-level authority in Mentoring and creates new practices or standards. |
| Stakeholder alignmentInfluence & Leadership Without Authority | P7Enterprise / Industry AuthoritySupporting | Acts as an industry-level authority in Stakeholder alignment and creates new practices or standards. |
| Strategic thinkingThinking & Problem Solving | P7Enterprise / Industry AuthoritySupporting | Acts as an industry-level authority in Strategic thinking and creates new practices or standards. |
| Structured problem solvingThinking & Problem Solving | P7Enterprise / Industry AuthoritySupporting | Acts as an industry-level authority in Structured problem solving and creates new practices or standards. |
Professional6
| Professional | P | Supporting |
|---|---|---|
| AI lifecycle governanceData & Analytics Practice | P7Enterprise / Industry AuthorityCore | Acts as an industry-level authority in AI lifecycle governance and creates new practices or standards. |
| AI model governanceData & Analytics Practice | P7Enterprise / Industry AuthorityCore | Acts as an industry-level authority in AI model governance and creates new practices or standards. |
| Architecture governanceIT Service Management & Governance | P7Enterprise / Industry AuthoritySupporting | Acts as an industry-level authority in Architecture governance and creates new practices or standards. |
| Model risk managementData & Analytics Practice | P7Enterprise / Industry AuthorityCore | Acts as an industry-level authority in Model risk management and creates new practices or standards. |
| Responsible AI principlesData & Analytics Practice | P7Enterprise / Industry AuthoritySupporting | Acts as an industry-level authority in Responsible AI principles and creates new practices or standards. |
| Technology governanceIT Service Management & Governance | P7Enterprise / Industry AuthoritySupporting | Acts as an industry-level authority in Technology governance and creates new practices or standards. |
Technical16
| Technical | P | Supporting |
|---|---|---|
| AI inference optimizationData Science, ML & AI | P7Enterprise / Industry AuthoritySupporting | Advances the state of practice for AI inference optimization and influences the profession beyond the organization. |
| AI observabilityData Science, ML & AI | P7Enterprise / Industry AuthorityCore | Advances the state of practice for AI observability and influences the profession beyond the organization. |
| Apache SparkDatabases & Data Platforms | P7Enterprise / Industry AuthoritySupporting | Advances the state of practice for Apache Spark and influences the profession beyond the organization. |
| DatabricksDatabases & Data Platforms | P7Enterprise / Industry AuthoritySupporting | Advances the state of practice for Databricks and influences the profession beyond the organization. |
| Feature pipeline engineeringData Science, ML & AI | P7Enterprise / Industry AuthoritySupporting | Advances the state of practice for Feature pipeline engineering and influences the profession beyond the organization. |
| Feature store engineeringData Science, ML & AI | P7Enterprise / Industry AuthoritySupporting | Advances the state of practice for Feature store engineering and influences the profession beyond the organization. |
| KubernetesDevOps, SRE & Platform Engineering | P7Enterprise / Industry AuthoritySupporting | Advances the state of practice for Kubernetes and influences the profession beyond the organization. |
| ML experiment trackingData Science, ML & AI | P7Enterprise / Industry AuthorityCore | Advances the state of practice for ML experiment tracking and influences the profession beyond the organization. |
| MLOpsData Science, ML & AI | P7Enterprise / Industry AuthorityCore | Advances the state of practice for MLOps and influences the profession beyond the organization. |
| MLflowData Science, ML & AI | P7Enterprise / Industry AuthorityCore | Advances the state of practice for MLflow and influences the profession beyond the organization. |
| Model deploymentData Science, ML & AI | P7Enterprise / Industry AuthorityCore | Advances the state of practice for Model deployment and influences the profession beyond the organization. |
| Model drift detectionData Science, ML & AI | P7Enterprise / Industry AuthoritySupporting | Advances the state of practice for Model drift detection and influences the profession beyond the organization. |
| Model monitoringData Science, ML & AI | P7Enterprise / Industry AuthorityCore | Advances the state of practice for Model monitoring and influences the profession beyond the organization. |
| Model registryData Science, ML & AI | P7Enterprise / Industry AuthorityCore | Advances the state of practice for Model registry and influences the profession beyond the organization. |
| Model servingData Science, ML & AI | P7Enterprise / Industry AuthorityCore | Advances the state of practice for Model serving and influences the profession beyond the organization. |
| TerraformDevOps, SRE & Platform Engineering | P7Enterprise / Industry AuthoritySupporting | Advances the state of practice for Terraform and influences the profession beyond the organization. |
This is the highest level in this career.
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.