AI / Generative AI Engineering
AI / Generative AI Engineering is an individual-contributor career path within Data & Analytics. Professionals progress from guided execution to independent delivery, senior problem solving, cross-team leadership and enterprise-level expertise without requiring people management.
- Function
- Data & Analytics
- Archetype
- Engineering
- Highest level
- L7 · Distinguished AI Engineer
Why it exists
Enables the organization to deliver reliable outcomes in ai / generative ai engineering by building progressively deeper expertise, judgment, ownership and business impact.
Typical responsibilities
Execute discipline-specific work; apply professional standards; solve increasingly complex problems; collaborate with stakeholders; improve quality and efficiency; share expertise; at senior levels, shape practices and decisions beyond the immediate team.
Where the work happens
Common in Data & Analytics teams across technology companies, shared-services organizations, consulting firms, multinational operations and other employers that require ai / generative ai engineering capability.
How the career progresses
Associate AI Engineer → AI Engineer → Senior AI Engineer → Staff AI Engineer → Senior Staff AI Engineer → Principal AI Engineer → Distinguished AI Engineer
Levels in this career
Six standard stages. The seventh exists only where the career provides for it.
- L1Associate AI Engineer
- L2AI Engineer
- L3Senior AI Engineer
- L4Staff AI Engineer
- L5Senior Staff AI Engineer
- L6Principal AI Engineer
- L7Distinguished AI Engineer
Optional distinguished level. Not every career reaches it.
What is expected at L3 · Senior AI Engineer
Handles complex work; mentors others and influences team-level outcomes. The focus is successful individual contribution at this stage, not people management.
The five dimensions that change
- Autonomy
- Operates independently on complex work and mentors others.
- Scope
- Projects, services or a meaningful domain.
- Complexity
- Complex problems requiring analysis and trade-offs.
- Influence
- Influences team decisions and multiple stakeholders.
- Business impact
- Improves team outcomes, quality and execution.
- Ambiguity
- Moderate.
What good looks like
Senior AI Engineer consistently demonstrates the expected autonomy and judgment for L3, delivers outcomes appropriate to the scope of the role, applies required Human, Professional and Technical skills at the mapped proficiency, and produces evidence of impact rather than relying on tenure alone.
Typical evidence
Completed work with measurable quality/outcome; stakeholder feedback; examples of problems solved and decisions made; reusable artifacts or improvements; demonstrated skill proficiency; mentoring/influence evidence at senior levels.
Skills expected at L3
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.
Human15
| Human | P | Supporting |
|---|---|---|
| AccountabilityExecution & Self-Management | P4ProficientCore | Handles complex situations, adapts methods and guides peers in the skill. |
| Active listeningCommunication & Language | P4ProficientCore | Handles complex situations, adapts methods and guides peers in the skill. |
| AdaptabilityExecution & Self-Management | P4ProficientCore | Handles complex situations, adapts methods and guides peers in the skill. |
| Clear verbal communicationCommunication & Language | P4ProficientCore | Handles complex situations, adapts methods and guides peers in the skill. |
| Clear written communicationCommunication & Language | P4ProficientCore | Handles complex situations, adapts methods and guides peers in the skill. |
| CollaborationCollaboration & Relationships | P4ProficientCore | Handles complex situations, adapts methods and guides peers in the skill. |
| Continuous learningExecution & Self-Management | P4ProficientCore | Handles complex situations, adapts methods and guides peers in the skill. |
| Critical thinkingThinking & Problem Solving | P4ProficientCore | Handles complex situations, adapts methods and guides peers in the skill. |
| Cross-functional collaborationCollaboration & Relationships | P4ProficientCore | Handles complex situations, adapts methods and guides peers in the skill. |
| Decision makingThinking & Problem Solving | P4ProficientCore | Handles complex situations, adapts methods and guides peers in the skill. |
| ProfessionalismEthics & Professional Conduct | P4ProficientCore | Handles complex situations, adapts methods and guides peers in the skill. |
| Stakeholder alignmentInfluence & Leadership Without Authority | P4ProficientCore | Handles complex situations, adapts methods and guides peers in the skill. |
| Structured problem solvingThinking & Problem Solving | P4ProficientCore | Handles complex situations, adapts methods and guides peers in the skill. |
| Time managementExecution & Self-Management | P4ProficientCore | Handles complex situations, adapts methods and guides peers in the skill. |
| Giving constructive feedbackCommunication & Language | P3WorkingSupporting | Applies the skill independently in normal and moderately complex situations. |
Professional10
| Professional | P | Supporting |
|---|---|---|
| Data ethicsData & Analytics Practice | P3WorkingCore | Applies the skill independently in normal and moderately complex situations. |
| Data product managementData & Analytics Practice | P3WorkingCore | Applies the skill independently in normal and moderately complex situations. |
| Data protection impact assessmentsCybersecurity, Privacy & Data Governance Standards | P3WorkingSupporting | Applies the skill independently in normal and moderately complex situations. |
| Data quality managementCybersecurity, Privacy & Data Governance Standards | P3WorkingSupporting | Applies the skill independently in normal and moderately complex situations. |
| Data stewardshipCybersecurity, Privacy & Data Governance Standards | P3WorkingSupporting | Applies the skill independently in normal and moderately complex situations. |
| Data storytellingData & Analytics Practice | P3WorkingCore | Applies the skill independently in normal and moderately complex situations. |
| Schedule managementProject, Program & Portfolio Management | P3WorkingSupporting | Applies the skill independently in normal and moderately complex situations. |
| ScrumAgile, Product & Delivery Methods | P3WorkingSupporting | Applies the skill independently in normal and moderately complex situations. |
| User story definitionAgile, Product & Delivery Methods | P3WorkingSupporting | Applies the skill independently in normal and moderately complex situations. |
| Value stream managementAgile, Product & Delivery Methods | P3WorkingSupporting | Applies the skill independently in normal and moderately complex situations. |
Technical9
| Technical | P | Supporting |
|---|---|---|
| Data modelingDatabases & Data Platforms | P3WorkingSupporting | Applies the skill independently in normal and moderately complex situations. |
| Data visualization implementationAnalytics, BI & Data Visualization | P3WorkingSupporting | Applies the skill independently in normal and moderately complex situations. |
| Google Kubernetes EngineCloud Platforms | P3WorkingSupporting | Applies the skill independently in normal and moderately complex situations. |
| Machine learningData Science, ML & AI | P3WorkingCore | Applies the skill independently in normal and moderately complex situations. |
| Python data analysisAnalytics, BI & Data Visualization | P3WorkingSupporting | Applies the skill independently in normal and moderately complex situations. |
| SQL analyticsAnalytics, BI & Data Visualization | P3WorkingSupporting | Applies the skill independently in normal and moderately complex situations. |
| ScalaProgramming Languages | P3WorkingCore | Applies the skill independently in normal and moderately complex situations. |
| Supervised learningData Science, ML & AI | P3WorkingCore | Applies the skill independently in normal and moderately complex situations. |
| Unsupervised learningData Science, ML & AI | P3WorkingCore | Applies the skill independently in normal and moderately complex situations. |
What changes from L3 to L4
Moving from Senior AI Engineer to Staff AI Engineer means demonstrating sustained performance at a larger scope with greater autonomy, complexity, influence and business impact—not simply spending more time in role.
How readiness is shown
Repeatedly performs key aspects of Staff AI Engineer before promotion; demonstrates the required skill increases; handles high complexity, dependencies and competing constraints.; receives credible stakeholder evidence; shows measurable outcomes at the next-level scope.
How to prepare
Take stretch assignments at the next-level scope; deepen the listed skill gaps; seek feedback from experienced practitioners; document measurable outcomes and decisions; mentor/share knowledge where appropriate; pursue relevant learning or certification when it strengthens capability.
Adjacent careers
Computed from shared skills. It is a signal for exploring, not a hiring or eligibility guarantee.
- Data ScienceData & Analytics51 shared skills
- Data EngineeringData & Analytics50 shared skills
- Machine Learning EngineeringData & Analytics48 shared skills
- Data AnalyticsData & Analytics49 shared skills
- Business IntelligenceData & Analytics49 shared skills
- Data Governance & StewardshipData & Analytics42 shared skills
Career framework v21, active since August 17, 2026.